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A personal list of talks. If you have a question about this list, please contact: Philipp Hennig. If you have a question about a specific talk, click on that talk to find its organiser. 3 upcoming talks and 3012 talks in the archive. In-Context Learning
Machine Learning Reading Group @ CUED Out-of-context reasoning/learning in LLMs and its safety implicationsTeams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED Learning to See the World in 3DTeams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED An Introduction to In-Context LearningTeams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Decoding our Humanity
Machine Learning Reading Group @ CUED ML for Medium-Range Weather ForecastingTeams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Integrating Random Memory Patterns and Spatial Maps in Food-Caching Birds
Polari - a Very Queer Code
2025 Scott Lectures - Quantum science with atom-like systems in diamond
2025 Scott Lectures - Exploring quantum computing frontier with programmable atom arraysRefreshments will be served after the lecture
Machine Learning Reading Group @ CUED Influence FunctionsTeams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
The Continual Learning (CL) Theory
2025 Scott Lectures - Lecture 1 New field of quantum science and engineeringDrinks and nibbles will be served after the lecture
Wayfinding through the Human Genome
Machine Learning Reading Group @ CUED Sampling with diffusion modelsTeams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Eve's Byte of the Apple
Machine Learning Reading Group @ CUED Geometric Deep Learning for Structure-Based Drug DesignTeams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Hopfield Networks: From Neuroscience to Machine Learning and Back
Epigenetics: A Code upon a Code?
Certain about uncertainty? Latent representations of VAEs optimized for visual tasks.
Machine Learning Reading Group @ CUED Diffusion Models Beyond Mean PredictionTeams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Neural circuit reorganisation and functional resilience
Inverse normative modeling of continuous perception and action
Using Maths to Decode the Universe
Machine Learning Reading Group @ CUED Unpacking UK’s New AI Action Plan: Ambition versus RealityTeams link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
The Power of Music: A Journey Back to Home
Machine Learning Reading Group @ CUED An Introduction to Algorithmic DifferentiationZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED An Introduction to Algorithmic DifferentiationZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Bits with Soul
Machine Learning Reading Group @ CUED Foundation Models in Robotics
Data-driven models of neural and behavioural learning
Evaluating dynamical systems hypotheses for pattern generation in motor cortex
Modelling C. elegans pharynx
Machine Learning Reading Group @ CUED Learning curve prediction for AutoMLZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED Learning curve prediction for AutoMLZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Relating the diversity of firing rates to the dimension of variability in recurrent networks
Machine Learning Reading Group @ CUED An Elementary Introduction to Sequential Monte Carlo Samplers
State space models (as alternatives to Transformers)
Machine Learning Reading Group @ CUED Scalable Sampling Using Annealed Algorithms
Machine Learning Reading Group @ CUED Are we making progress in unlearning?
Geometry of neural representations
Machine Learning Reading Group @ CUED Natural Experiments in NLP and Where to Find ThemZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED Linear Attention for Efficient Transformers
Sensory prediction errors in thalamocortical circuits
Geometry of population coding in large and transcriptomically-identified cortical populations
Machine Learning Reading Group @ CUED Task AlignmentZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Causal inference during motion perception, and its neural basis
Learning Bayesian inference models of cortical visual processing
Application of the optimal transport Gromov-Wasserstein problem to manifold learning and graph analysis
Application of the optimal transport Gromov-Wasserstein problem to manifold learning and graph analysis
Application of the optimal transport Gromov-Wasserstein problem to manifold learning and graph analysis
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED A Light Introduction to Topological Data AnalysisZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Circuit for memory-based action selection
Integrated Spin model with global inhibition for decision making
Unifying the mechanisms of the hippocampal and prefrontal cognitive maps
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Mean Field Theory of NNsZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk
Machine Learning Reading Group @ CUED Discussing the Stanford AI ReportZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED Discussing the Stanford AI ReportZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED AI ControlZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED Neural likelihood-free inferenceZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Neurotransmitter receptor gradients: gateways for subcortical routing of cortex-wide dynamics during cognition
Machine Learning Reading Group @ CUED An Introduction to the Conjugate Gradient MethodZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Behavioral, Neuropsychological, and Computational Perspectives on Sensorimotor Learning
Behavioral, Neuropsychological, and Computational Perspectives on Sensorimotor Learning
How the Cultural Revolution still shapes China
Revolution by Natural Selection: a radical history of life from inside our cells
Machine Learning Reading Group @ CUED An Introduction to Transformer Neural ProcessesZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Title to be confirmed
Computational Neuroscience Journal Club
Worlds Turned Upside Down: Quiet Revolutions in Art
Consistent Validation for Predictive Methods in Spatial Settings
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Learning Symmetries in Neural NetworksZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
The Exoplanet Revolution
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED GenCast: Diffusion-based ensemble forecasting for medium-range weather (or: How to ruin a numerical weather forecaster’s Christmas)Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
A Revolution in Thought? How hemisphere theory helps us understand the metacrisis
Machine Learning Reading Group @ CUED Bayesian coresetsZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Are Revolutions Justified?
The Genetic Revolutions
On the Disappointment of Revolutions
Machine Learning Reading Group @ CUED Flow matching, stochastic interpolants and everything in betweenZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Modern Bayesian Experimental Design
Machine Learning Reading Group @ CUED Challenges of Regulating Increasingly Complicated Human-AI Collaborative SystemsZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED A Poisson Process Model for Monte CarloZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience Journal Club
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Learning Directed Acyclic Graphs (DAGs) With Continuous OptimizationZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED Deep Learning for Medium-Range Global Weather PredictionZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience Journal Club
Computational Neuroscience Journal Club
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Learning linear models in-context with transformersZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Quasi-Monte Carlo: structure in the randomness for better sampling
A new look at eye design
Computational Neuroscience Journal Club
Structured recognition for generative models with explaining away
Visit and talk by Jay McClelland: "Some thoughts on the differences between human and machine intelligence"
Compositional mathematics and automatic gradient descent
Machine Learning Reading Group @ CUED Deciphering Batch Effects in Single-cell Transcriptomics with Concept BottlenecksZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED Schrödinger bridges, diffusion and SDEsZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED The LLM Tidal WaveZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED The LLM Tidal WaveZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED Game theory, distributional reinforcement learning, control and verificationZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED On choosing the mass matrix for Hamiltonian Monte CarloZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Reward ModellingZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Convergence bounds for the Random Walk Metropolis algorithm - Perspectives from Isoperimetry
Machine Learning Reading Group @ CUED Navigating the Future: Upcoming EU AI Regulation and its Potential Impact on the FieldZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED Learning-based multiscale modeling: computing, data science, and uncertainty quantificationZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Neural Tangent KernelZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
Machine Learning Reading Group @ CUED No-regret Dynamics for Multi-agent LearningZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
Machine Learning Reading Group @ CUED Scalable Approaches to Self-Supervised Learning using Spectral AnalysisZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
Machine Learning Reading Group @ CUED Physics-informed machine learningZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Causal Machine LearningZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Machine Learning Reading Group @ CUED User Manipulation in Recommender SystemsZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.
Isolation of atomic mechanisms – the choreographer at play
Machine Learning Reading Group @ CUED Random Features for Kernel ApproximationZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
The Self-Imposed Isolation of North Korea
Machine Learning Reading Group @ CUED An Overview of Differential Privacy, Membership Inference Attacks, and Federated LearningZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
Are we alone in the Universe?
Machine Learning Reading Group @ CUED Bayesian Neural NetworksZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
Computational Neuroscience Journal Club
Isolation and Trapping using Optical Tweezers
Machine Learning Reading Group @ CUED Offline Reinforcement LearningZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
Computational Neuroscience Journal Club
Antarctica:Isolated Continent
Machine Learning Reading Group @ CUED {PF}^2ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization Under Unknown ConstraintsZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
The unbreakable lightness of single neuron non-linearities in learning
The Closeting of Secrets
Calls to F the Algorithm: Lessons from the 2020 Exam Debacle
The Isolation of Asylum Seekers: immigration detention in Australia
On Escaping or Not Escaping Solitude. Persian Tales of Turtles and Pearls
Machine Learning Reading Group @ CUED Scalable simulation and inference in non-Gaussian stochastic PDEs
Scalable simulation and inference in non-Gaussian stochastic PDEs
Computational Neuroscience Journal Club
Understanding the emergence of neural population dynamics underlying behaviour
Measuring Alignment Between Perceptual Systems: An Analysis Through The Lens of Shared Invariances
Machine Learning Reading Group @ CUED Information Geometry — Natural Gradient DescentZoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
Computational Neuroscience Journal Club
Gaussian processes, spectral analysis kernels and optimal transport
Deep Reinforcement Learning for Multi-Agent Interaction
Machine Learning Reading Group @ CUED Predicting generalization of ML models.Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.
Presenting Hawk-Eye’s Skeletrack: Our machine learning approach to building a real time skeletal tracking system for sports, and how we're using it to shape the future of fan engagement
Machine Learning Reading Group @ CUED A tutorial on diffusion models
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks The second generation of meta-learning methods
Machine Learning Reading Group @ CUED Benchmarking and evaluation in contemporary machine learning
Computational Neuroscience Journal Club
Random walks, self-reinforcement and neurons
Machine Learning Reading Group @ CUED Advanced artificial agents intervene in the provision of reward
Machine Learning Reading Group @ CUED Theory and Practice of Infinitely Wide Neural Networks - Guest Talk
Machine Learning Reading Group @ CUED The unreasonable effectiveness of mathematics in large scale deep learning
Machine Learning Reading Group @ CUED The role of meta-learning for few-shot classification
Noise-Aware Differentially Private Synthetic Data
Machine Learning Reading Group @ CUED Benefits and Shortcomings of Assistance
Estimating RSV seasonality from pandemic disruptions: a modelling study
In Search for the Next Magic Stone
Machine Learning Reading Group @ CUED Discussion: Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors
Machine Learning Reading Group @ CUED Discussion: Learning PAC-Bayes Priors for Probabilistic Neural Networks
Machine Learning Reading Group @ CUED Rethinking evaluation for machine learning models
Machine Learning Reading Group @ CUED Discussion: Bayesian Model Selection, the Marginal Likelihood, and Generalization
How a recurrent circuit of Poisson spiking neurons is able to implement sampling-based inference
Beyond Conformal Prediction: Distribution-Free Uncertainty Quantification for Complex Machine Learning Tasks
Machine Learning Reading Group @ CUED How close are these distributions? A brief introduction to statistical distances and divergences.
Microsoft Research Cambridge, public talks Assisting in the response to the COVID19 pandemic using internet data, Dr Elad Yom-Tov - MSR Cambridge, Lecture SeriesPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required
Machine Learning Reading Group @ CUED Bests of ICLR
The physics of how humans build models of the world
To see a world in a grain of sandA wine and nibbles reception will follow the lecture
Graph neural network approach for decentralized multi-robot coordination
Machine Learning Reading Group @ CUED Machine Learning with Quantum Computers
Topological pumping in new territoryA wine and nibbles reception will follow the lecture
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Autoregressive Diffusion Models
Machine Learning Reading Group @ CUED An Overview of AI Alignment
Cavendish Physical Society Lecture - title tbc
Cavendish Physical Society Lecture - title tbc
Machine Learning Reading Group @ CUED The Bayesian Learning Rule for Adaptive AI
New Physics in Driven Quantum Materials
The Political Economy of Conservation and Food Security
Machine Learning Reading Group @ CUED Introduction to differential privacy
Computational Neuroscience Journal Club
Archaeology and Discovering the Food of the Past
Neutron scattering studies of quantum magnets’"This will be a hybrid lecture link to mtg https://tinyurl.com/3fpmjscv
: "Topological Solitons for Quantum Operations"A wine reception will follow the lecture
Food and Cultural History
Machine Learning Reading Group @ CUED Retrieval Augmented NLP
Food as Expression
Machine Learning Reading Group @ CUED Circuits and Interpretability
X-rays and Food Safety
Machine Learning Reading Group @ CUED Optimal Transport Metrics
Computational Neuroscience Journal Club
Food, Power and Society
Machine Learning Reading Group @ CUED Learned Compression
Should Cats and Dogs go Vegan?
Computational Neuroscience Journal Club
Food and Climate Change
Machine Learning Reading Group @ CUED Diffusion and Score-based Generative Models
Machine Learning Reading Group @ CUED AI Safety
Machine Learning Reading Group @ CUED [Cancelled] Best of Neurips
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Energy-Based Models
Connectivity inference in visual cortex and characterization of contrast-suppressed cells
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Deep Kernels
Machine Learning Reading Group @ CUED Mean Field Theory of NN (postponed to March 2022)
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Representation Learning: A Causal Perspective
Machine Learning Reading Group @ CUED Ethics, Integrity and Good Practice in ML
Machine Learning Reading Group @ CUED Implicit Regularization in Deep Learning
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Planning Meeting + PI Presentations
Computational Neuroscience Journal Club
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Towards Neuro-Causality: Relating Graph Neural Networks to Structural Causal Models
Machine Learning Reading Group @ CUED CBL Alumni Talk - Task-specific routing of information in neural circuits via structured noise by Cristina Savin
Machine Learning Reading Group @ CUED CBL Alumni Talk: Nonlinear filtering as a unifying principle in neuroscience by Jean-Pascal Pfister
Computational Neuroscience Journal Club
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED CBL Alumni Talk: Finale Doshi-Velez
Machine Learning Reading Group @ CUED Pseudo-Points and State-Space Gaussian Processes
Machine Learning Reading Group @ CUED CBL Alumni Talk: Latent Stochastic Differential Equations: An Unexplored Model Class.
Capacity and errors in classification of object manifolds
Machine Learning Reading Group @ CUED The Statistical Finite Element Method
Computational Neuroscience Journal Club
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED CBL Alumni Talk - Our Power as Technical Designers
Machine Learning Reading Group @ CUED Best of ICLR
Physical models to predict the evolution of viruses and bacteriaThis lecture is a Livestream Event
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED CBL Alumni Talk: Accurate Gaussian Processes and how they can help Deep Learning
Machine Learning Reading Group @ CUED An Introduction to PAC-Bayes
Machine Learning Reading Group @ CUED Automated Augmented Conjugate Inference for Gaussian Processes
Machine Learning Reading Group @ CUED CBL Alumni Talk: Examining Critiques in Bayesian Deep Learning
Machine Learning Reading Group @ CUED Online Learning and Online Convex Optimisation
Machine Learning Reading Group @ CUED Monte Carlo Gradient Estimation in Machine Learning
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Secondmind's research activities to make Gaussian Processes industry proof
Machine Learning Reading Group @ CUED Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Gaussian Processes I have Known
Machine Learning Reading Group @ CUED Causal Representation Learning
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Long-Range Transformers
Machine Learning Reading Group @ CUED Inference in Stochastic Processes
Computational Neuroscience Journal Club
Bloodlines of the British
Machine Learning Reading Group @ CUED Fairness in AI
Dracula, Vampires and the New Woman
Machine Learning Reading Group @ CUED Variational Bayes as Surrogate Regression
Blood in Motion: The Physics of Blood Flow
Transitional Bleeding in Early Modern England
Machine Learning Reading Group @ CUED Bayesian optimization / Gaussian Process Bandits
Machine Learning Reading Group @ CUED Meta-reinforcement learning
A theory for Hebbian Learning in recurrent E-I networks
Machine Learning Reading Group @ CUED Best of NeurIPS
Computational Neuroscience Journal Club
The covariance perceptron: Theory and application to reservoir computing
Machine Learning Reading Group @ CUED Neural Processes
Machine Learning Reading Group @ CUED Large-scale sequential experimentation
Looking for signatures of quantum entanglement: spin liquids at finite temperature
Machine Learning Reading Group @ CUED Symmetries in Reinforcement Learning
Computational Neuroscience Journal Club
’Seeing early cancer in a new light’
Machine Learning Reading Group @ CUED Gradient-based Hyperparameter Optimisation
Title to be confirmed
Machine Learning Reading Group @ CUED Best Papers from ICML 2020
Hidden structures in a model of many-body quantum chaos
Space photovoltaics challenges: fundamental to appliedJoin the talk here:- https://tinyurl.com/y2kfo6ra
Computational Neuroscience Journal Club
Cognitive switches and functional reprogramming of sensory cortex
'Exactly what is Computational Multiphysics?'
Computational Neuroscience Journal Club
Efficient and Structured Uncertainty: Challenges and Opportunities
Machine Learning Reading Group @ CUED Active Learning
Machine Learning Reading Group @ CUED Recent advances in the theory and applications of VAEs
Computational Neuroscience Journal Club
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Best of ICLR 2020
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Differentiable Planning
Why do neurons spike spontaneously?
Why do neurons spike spontaneously?
Machine Learning Reading Group @ CUED Recent Developments in Bayesian Deep Learning
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Strategic Classification
Machine Learning Reading Group @ CUED Machine Learning on Sets
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Boltzmann Generators and Stochastic Normalizing Flows
Machine Learning Reading Group @ CUED World Models
Machine Learning Reading Group @ CUED Federated Learning
Computational Neuroscience Journal Club
Archaeological Mysteries
Game Playing Meets Game Theory: Strategic Learning from Simulated Play
Eruptions, Emissions and Enigmas: from fuming volcanic vents to mass extinction events
Microsoft Research Cambridge, public talks Distributed distributional codes for learning successor features in partially observable environmentsPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Machine Learning Reading Group @ CUED Self-Supervised Representation Learning
Computational Neuroscience Journal Club
Computational Neuroscience Journal Club
The Enigmatic Premodern Book
Machine Learning Reading Group @ CUED Kernel Mean Embeddings
The Enigma of Emotion
Machine Learning Reading Group @ CUED Neural Tangent Kernel
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Sankie: Using Data to Build Better Systems and ServicesPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Alan Turing and the Enigma Machine
Decoding the Heavens: The Antikythera Mechanism
Microsoft Research Cambridge, public talks Machine Learning Meetup
Computational Neuroscience Journal Club
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Deep (Inter-)Active Learning for NLP: Cure-all or Catastrophe?Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks Deep (Inter-)Active Learning for NLP: Cure-all or Catastrophe?Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Robust Deep Learning Under Distribution Shift
Microsoft Research Cambridge, public talks Algorithmic Differentiation (AD) Beyond Back Propagation
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Moonshot Thinking to Unleash Innovation, Dr Pablo Rodriguez - Telefonica Alpha: MSR Cambridge, Lecture SeriesPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Machine Learning Reading Group @ CUED Scalable Gaussian Processes
Microsoft Research Cambridge, public talks The Mobile Computing Platform after Smartphones - Prof Romit Roy Choudhury: MSR Cambridge, Lecture SeriesPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Computational Neuroscience Journal Club
Scott Lecture II : Exoplanets, Copernicus’ revolution on the moveAll Welcome
Machine Learning Reading Group @ CUED Probabilistic Programming
Scott Lecture I : Exoplanets, Copernicus’ revolution on the moveAll welcome
Microsoft Research Cambridge, public talks Photonic-chip-based soliton microcombs Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Machine Learning Reading Group @ CUED Neural Attention
Computational Neuroscience Journal Club
Structure in the randomness of trained recurrent neural networks
Machine Learning Reading Group @ CUED Equivariance and Symmetries in CNNs
Models and inference for temporal Gaussian processes
Machine Learning Reading Group @ CUED Hyperparameter Optimisation
Computational neuroscience journal club
Neural information processing during behavior and sleep
Machine Learning Reading Group @ CUED Meta-Learning or "Learning To Learn"
Reinforcement Learning at Huawei: Robustness, Safety, and Efficiency
Constructing temporal latent spaces: Representation learning for clustering and imputation on time series
Explaining Neural Networks: Post-hoc and Natural Language Explanations
Machine Learning Reading Group @ CUED Hamiltonian Monte Carlo for Hierarchical Models
Computational Neuroscience Journal Club
Dopamine as prediction error in active inference
Neurotransmitter spillover modulates neuronal information transmission
Computational Neuroscience Journal Club
Learning-Algorithms from Bayesian Principles
Microsoft Research Cambridge, public talks Advanced polarized light microscopy for mapping molecular orientation Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required
Wearable non-invasive human neural interface with action potential resolution
Wearable non-invasive human neural interface with action potential resolution
Rotation Invariant Householder Parameterization for Bayesian PCA
Microsoft Research Cambridge, public talks Three case studies for coexisting mechanisms in protein-pattern forming systems
Microsoft Research Cambridge, public talks Modeling User Experience in Games: Lessons LearnedPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Two Approximate Sampling Methods for Bayesian Deep Learning
Microsoft Research Cambridge, public talks Physical security and side channel attacks in Arm based SoCs Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks Using reason and evidence to do the most good
Frontiers in Artificial Intelligence Series How good is your classifier? Revisiting the role of evaluation metrics in machine learningPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks Antennas for light and their applications in classical optics Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Semi-Unsupervised Learning with Deep Generative Models / Disentangling Improves VAEs' Robustness to Adversarial Attacks
Efficiency and Transferability of Neural Networks
Learning via Data Compression: Bayesian Coresets and Sparse Variational Inference
Microsoft Research Cambridge, public talks PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent SettingsPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Deep Neural Networks: A Nonparametric Bayesian Approach with Local Competition
Microsoft Research Cambridge, public talks Photons in the cloud: communicating and storing dataPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks Photonics for Computing: from Optical Interconnects to Neuromorphic ArchitecturesPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Computational Neuroscience Journal Club
Information Consumption on Social Media: Efficiency, Trust, and Divisiveness
Computational Neuroscience Journal Club
How perception informs urgent saccadic choices: halting, acceleration, and deceleration
Why Do We Need New Hardware & Software for Machine Intelligence?
Machine Learning Reading Group @ CUED Particle MCMC
Machine Learning Reading Group @ CUED Stochastic Differential Equations
Nonparametric Generative Modeling via Optimal Transport and Diffusions with Provable Guarantees
Machine Learning Reading Group @ CUED Generalisation in neural networks
Machine Learning Reading Group @ CUED An Overview of Normalizing Flows
Microsoft Research Cambridge, public talks Canopus and RCanopus: Scalable Consensus for Permissioned Blockchains Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks Canopus and RCanopus: Scalable Consensus for Permissioned Blockchains Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks An introduction to clustering and the expectation maximisation algorithm Part 2Please note, this event will be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks An introduction to clustering and the expectation maximisation algorithm Part 1Please note, this event will be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
NeVAE: A Deep Generative Model for Molecular Graphs
Global model explainability via aggregation
Machine Learning Reading Group @ CUED Sampling as Optimization
Robust machine learning for causal inference in health care
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks MSR Cambridge Cloud Talk Series; Structured light: seeing less to see more in optical microscopy Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required
Microsoft Research Cambridge, public talks What difference does one tonne make?Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
The K-FAC method for neural network optimization
Machine Learning Reading Group @ CUED Implicit Variational Inference
Open Issues in Build Systems
Perception of Visual Space
Machine Learning Reading Group @ CUED Continual Learning: Definitions, Benchmarks, and Approaches
Computer Vision
Frontiers in Artificial Intelligence Series Neural Code Comprehension: A Learnable Representation of Code SemanticsPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Machine Learning Reading Group @ CUED Causal Inference and Causal Reinforcement Learning
Stimulus complexity shapes response correlations in primary visual cortex
Viewing the Universe
Machine Learning Reading Group @ CUED Generative models for few-shot prediction tasks
Computational Neuroscience Journal Club
Appearance and Physical Reality
Neural circuit mechanisms of learning and attentional task-switching during visually-guided behaviour in mice
Online Meta-Learning
Machine Learning Reading Group @ CUED Logical Uncertainty
Vision of Future Technology
Computational Neuroscience Journal Club
Evolution of the Eye
High-dimensional dynamics of generalization error in neural networks: implications for experience replay
Gauge Equivariant Convolutional Networks on Manifolds
Machine Learning Reading Group @ CUED Stein Discrepancy
Colour and Vision
Observation and Intervention Incentives in Causal Influence Diagrams: Towards an Understanding of Powerful Machine Learning Systems
Computational Neuroscience Journal Club
Local and global synaptic credit assignment
Fairness for Sequential Decision Making Algorithms
Frontiers in Artificial Intelligence Series What Can Fair ML Learn from Economic Theories of Distributive Justice?Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Gaussian processes for inferring latent functions in complex data models
Machine Learning Reading Group @ CUED Neural Ordinary Differential Equations
Microsoft Research Cambridge, public talks Idris 2: Type Driven Development of Idris Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Adrian Seminars in Neuroscience Adrian Seminar - "Computational model of rapid learning in hippocampus".
Machine Learning Reading Group @ CUED Natural gradient in deep neural networks
A brain-machine interface for locomotion driven by subspace dynamics
Neural mechanisms of model-based planning in the rat
Machine Learning Reading Group @ CUED Graph Neural Networks
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Defending Against Adversarial Attacks
Machine Learning Reading Group @ CUED Reinforcement Learning and Control as Probabilistic Inference
Computational Neuroscience Journal Club
Scott Lecture III : Beyond Statistical Mechanics - Probing Quantum Matter out of Equilibrium
Scott Lecture II : Realizing and Probing Topological Matter using Ultracold Quantum Gases
Scott Lecture I : Controlling and Exploring Quantum Matter using Ultracold Atoms in Optical Lattices
Microsoft Research Cambridge, public talks Flux: Elegant Machine Learning with Julia Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Computational Neuroscience Journal Club
Causal Inference for Treatment Effects: A Theory and Associated Learning Algorithms
Computational Neuroscience Journal Club
Reactivation in biological and artificial neural networks
Interpretability - the myth, questions, and some answers
Simulation for Intelligent SystemsPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Constraint-based causal Discovery from NOnstationary/heterogeneous Data (CD-NOD)
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Neural Ordinary Differential Equations Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Frontiers in Artificial Intelligence Series Interpretability in Machine Learning: What it means, How we're getting there Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Fast yet Simple Natural-Gradient Variational Inference in Complex Models
Microsoft Research Cambridge, public talks Combating Student Mental Illness with Technology—from the Imagine Cup UK FinalsPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Variance in Policy Gradient methods and Learning Sequential Latent Variable Models
The impact of policy on the low-carbon transition: opening the black box of energy technologies
Structured deep models: Deep learning on graphs and beyond
Microsoft Research Cambridge, public talks DiCE: The Infinitely Differentiable Monte-Carlo Estimator Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks Herding Nulls – and other C# stories from the futurePlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Hidden problems in the global wind industry
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
Microsoft Research Cambridge, public talks Windows Insider ProgramPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
A physicist's spin on data science
Computational Neuroscience Journal Club
Semi-Generative Modelling: Domain Adaptation with Cause and Effect Features
Computational Neuroscience Journal Club
Algorithmic Glass Ceiling in Social Networks
Information Efficacy of a Dynamic Synapse
A Bayesian Perspective on Generalization and SGD
Algorithmic Glass Ceiling in Social Networks
Animal Migration
Machine Learning Reading Group @ CUED Neural Networks and Natural Language Processing
Structure in tensor-variate data: a trivial byproduct of simpler phenomena?
Machine Learning Reading Group @ CUED Information Theory, Codes, and Compression
Computational Neuroscience Journal Club
Disease Migration
Lipschitz Global Optimization
Machine Learning Reading Group @ CUED Statistical Learning Theory
Interfacing with the brain using organic electronics
Refugees and Migration
Art and Migration
Machine Learning Reading Group @ CUED Deep Generative Models
Machine Learning Reading Group @ CUED Minimum Description Length
Computational Neuroscience Journal Club
Black and British Migration
Frontiers in Artificial Intelligence Series Optimal algorithms for smooth and strongly convex distributed optimization in networks Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Machine Learning Reading Group @ CUED Machine Learning for Sounds
Machine Learning Reading Group @ CUED NIPS 2017 Highlights
Variational inference for some models with Polya-Gamma latent variables and Gaussian process priors
Bayesian Generative Adversarial Networks
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Bayesian Generative Adversarial Networks Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Machine Learning Reading Group @ CUED Hardware Efficient Machine Learning
A physicists perspective on osteoarthritis: From hydration lubrication to gene regulation
Computational Neuroscience Journal Club
Backprop through the Void: Optimizing Control Variates for Black-Box Gradient Estimation.
Learning to Learn without Gradient Descent by Gradient Descent
Machine Learning Reading Group @ CUED Learning to Learn
Towards true end-to-end learning & optimization
Machine Learning Reading Group @ CUED WGAN and Optimal Transport
Microsoft Research Cambridge, public talks Let’s speed up the Internet, fast! Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Computational Neuroscience Journal Club
How much to gain: Controlling space and time via gain modulation in cortical networks
Microsoft Research Cambridge, public talks Rethinking the Quantified Self to make personal data engaging and usefulPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Machine Learning Reading Group @ CUED Interpretability in Machine Learning
Machine Learning Reading Group @ CUED Deep Structured Prediction for Handwriting Recognition
Targeted Disclosure to Support Auditing and Accountability for Automated Decision-making
Computational Neuroscience Journal Club
Somatosensory cortex is essential for adaptive motor control in mice
Machine Learning Reading Group @ CUED Cooperative Inverse RL
From the olfactory cocktail party to markerless tracking
Machine Learning Reading Group @ CUED Infer.NET
Nonlinear ICA using temporal structure: a principled framework for unsupervised deep learning
Spike timing in motor control
No Physicist is an Island: Looking for TeV Physics in a peV Transition
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Open Evening for Women in Engineering
A Bayesian Treatment for Uncertainty -- and its application in health care
Frontiers in Artificial Intelligence Series Probabilistic and Deep Models for 3D Reconstruction Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Unbiased Estimation of the Eigenvalues of Large Implicit Matrices
The Grammar Variational Autoencoder & Counterfactual Fairness
Microsoft Research Cambridge, public talks Manifest Sharing with Session TypesPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Accelerating computation of SVM and DNN by binary approximation
Towards User-Friendly Image Inpainting: Learning-to-Rank based Image Quality Assessment for Image Inpainting
Deep learning for autonomous driving
Frontiers in Artificial Intelligence Series Coin Betting for Backprop without Learning Rates and More Please be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Frontiers in Artificial Intelligence Series How Can NLP Help Cure Cancer? Please be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Understanding Black-box Predictions via Influence Functions
Computational Neuroscience Journal Club
A simple neural network module for relational reasoning
Future technology: machine learning using memristors networks
Future technology: machine learning using memristors networks
Computational Neuroscience Journal Club
motifNet: Deep learning for system identification of regulatory networks
Neural network models of free recall and spatial navigation
Inferring decision rules from evidence, choice, and reaction times
Microsoft Research Cambridge, public talks AI and Healthcare Open Evening at Microsoft Research
"Dark Matter (at the LHC and other experiments)"
On Different Distances Between Distributions and Generative Adversarial Networks
Microsoft Research Cambridge, public talks Composition and Inheritance in Declarative Configuration LanguagesPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks Composition and Inheritance in Declarative Configuration LanguagesPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Scott Lecture II: Making of Sustainable Smart Society by Transformative Electronics 2 - Future Electronics
Scott Lecture I: Making of Sustainable Smart Society by Transformative Electronics 1 - Blue LED Story
Photo-induced superconductivity and other stories
“Topology in materials science”
The Status of Mini-Grids: Are they the 'next' big thing, or an un-economic diversion?
Adrian Seminars in Neuroscience Decoding the population activity of grid cells for spatial localization and goal-directed navigation
Tipping Points & Crises From statistical physics to social sciences
Frontiers in Artificial Intelligence Series Nonlinear ICA using temporal structure: a principled framework for unsupervised deep learning Please be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks Microsoft & the Future of Education Technology & Learning Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Deep Learning Book - Meeting 9 - Representation Learning
Microsoft Research Cambridge, public talks Predicting 3D Volume and Depth from a Single View Please be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks Predicting 3D Volume and Depth from a Single View Please be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks Security and Privacy in Machine LearningPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks Security and Privacy in Machine LearningPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks Generalizing Convolutions for Deep LearningPlease be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Deep Learning Book - Meeting 7 - Neural Turing Machines & Conditional Random Fields as RNNs
Thinking of becoming an Entrepreneur: What questions will you be asked?
Machine Learning Reading Group @ CUED Kernel Mean Embeddings
Information Engineering Division seminar list Bayesian Optimization for Probabilistic Programs
Deep Learning Book - Meeting 6 - Recurrent Neural Networks
Differentially Private Bayesian Learning
Computational and Biological Learning Seminar Series Control, inference and learning
Machine Learning Reading Group @ CUED Differential Privacy
Differential Privacy Tutorial
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Disrupting Developer Productivity One Bot At A Time, Margaret-Anne (Peggy) Storey, University of Victoria / Microsoft TSEPlease be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Deep Learning Book - Meeting 5 - ResNets and DenseNets
Extreme Politics
Cooperative Inverse Reinforcement Learning
Deep Learning Book - Meeting 4 - Convolutional Networks
Computational Neuroscience Journal Club
Dynamic reorganization of neuronal activity patterns in parietal cortex
Extremes of the Universe
Machine Learning Reading Group @ CUED Probabilistic Numerics
Deep Learning Book - Meeting 3 - Optimization
Bayesian optimisation in many dimensions with bespoke probabilistic programs
Greening up the Cavendish and the University: the Maxwell Centre as a test case
Computational Neuroscience Journal Club
Deep Learning Book - Meeting 2 - Regularization
Dealing with Extremism
Deep Learning Book - Meeting 1 - Deep Feedforward NNs
Extreme Events and How to Live with Them
Variational Bayes In Private Settings
Julia: Introduction and new developments
Machine Learning Reading Group @ CUED NIPS 2016 papers in 5mins
Bayesian optimality and frequentist extended admissibility are equivalent in saturated models
Hierarchical Multi-Agent Reinforcement Learning through Communicative Actions for Human-Robot Collaboration
Variational autoencoders with latent graphical models
Machine Learning Reading Group @ CUED Symmetry in Statistical Models
Microsoft Research Cambridge, public talks Well-founded functions, induction, and extreme predicates in an SMT-based verifierPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks Well-founded functions, induction, and extreme predicates in an SMT-based verifierPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Machine Learning Reading Group @ CUED Bayesian Optimization
A tale of P-matrices and TripleSpinners - the unreasonable effectiveness of structured models in nonlinear embeddings
Microsoft Research Cambridge, public talks Engineering the Future: Engineering in Artificial Intelligence at Microsoft Research Cambridge
Visualizing Quantum Matter
Rejection Sampling Variational Inference
Machine Learning Reading Group @ CUED deep generative models
Neural representations of uncertainty: the right tool for the right job
Probabilistic Numerical Computation: A New Concept?
Grid cells get back to the memory game
Machine Learning Reading Group @ CUED Sketching methods
Microsoft Research Cambridge, public talks Flexible PaxosPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Computational Neuroscience Journal Club
A talk in two parts: (1) AI Neuroscience: How much do deep neural networks understand about the images they classify? (2) Robots that can adapt like animals.Note venue: James Dyson Building
Machine Learning Reading Group @ CUED A crash-course on Bayesian Reinforcement Learning
Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models
Microsoft Research Cambridge, public talks Unsupervised Cluster Matching for Relational DataPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Robots learning on the move: deep learning from lots of demonstration
Microsoft Research Cambridge, public talks Developing PDE-compartment hybrid frameworks for modelling cell migrationPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks Developing PDE-compartment hybrid frameworks for modelling cell migrationPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Searching for – and finding! gravitational waves
Probabilistic modeling for position and orientation estimation using inertial sensors
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Computing In Schools: How Your Skills Can Change Lives
France’s Nuclear Energy Transition: Turning Points in National Policy and Innovation
The Odyssey of Galaxies throughout the Cosmic Epochs
Moment matching for latent variable models: from ICA to LDA and CCA
Microsoft Research Cambridge, public talks Queueing with Redundant Requests: A more realistic model Please be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required
Multiresolution Matrix Factorization
Dynamic Models for Health Data
Learning with Memory Embeddings
Microsoft Research Cambridge, public talks "Womenomics" and Gender-Inclusive Software: What the Software Industry Needs to Know Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Data Driven Discrete Time Modeling of Continuous Time Nonlinear Systems: Problems, Challenges, Success Stories
Microsoft Research Cambridge, public talks Horn Clauses for Verification and Synthesis Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Computational Neuroscience Journal Club
Computational and Biological Learning Seminar Series Internal models and the neural control of prey interception
Microsoft Research Cambridge, public talks Managing Privacy Tradeoffs in the Internet Please be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required
Inference as Learning
Microsoft Research Cambridge, public talks Reflections on Code-Reuse Attacks and DefensesPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Discriminative Embeddings of Latent Variable Models for Structured Data
Microsoft Research Cambridge, public talks Verifying Constant-Time ImplementationsPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Structured Dynamic Graphical Models & Scaling Multivariate Time Series Methodology
Microsoft Research Cambridge, public talks An introduction to program verification with F*Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Scaling and Generalizing Approximate Bayesian Inference
Microsoft Research Cambridge, public talks Practical Statically-checked Deterministic ParallelismPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks Summer of Science Talks: An Introduction to Discrete Geometry, with application to the Principles of Concurrent Programming Please note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
A decision-theoretic framework for active cognition
Computational Neuroscience Journal Club
A modular architecture for Unicode text compression
Learning Task Relations in Multi-Task LearningVia Skype
Distributed stochastic optimization for deep learningVia Skype
Modeling the Dynamics of Online Learning Activity
Developments in Exact Inference in Graphical Models
Approximation strategies for structure learning in Bayesian networksNote: via Skype!
Automated Reasoning and AI for Large Formal Mathematics
Machine Learning Reading Group @ CUED Partially Observable Markov Decision Processes (POMDPs)
Variational inference for scalable Gaussian process approximations
Novel MCMC and SMC schemes for Poisson-Kingman Bayesian Nonparametric mixture models
Turing: Rejuvenating Probabilistic Programming in Julia
Perceptual decision-making: models of the decision-making process and formulation of uncertainty
Towards a theory of layered neural circuit architectures
Towards Weaker Supervision and Simpler Pipelines in Speech Recognition
Machine Learning Reading Group @ CUED Learning polynomials with Neural Networks
Sum-Product Networks for Probabilistic Modeling
Scott Lecture III - What, Where. … and How? The future of the LHC and beyond.
Perception as a closed-loop convergence processThe host for this talk is Máté Lengyel. Note the unusual time and the unusual location
Microsoft Research Cambridge, public talks Resource Allocation for Next Generation of Radio Access Networks: how effective are my schedulers?This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending.
Energy Catalyst
Scott Lecture II - These are a few of my favorite Things: Wild geese that fly with the moon on their wings.
Scott Lecture I - You may find yourself with a beautiful Higgs Boson and 6 beautiful quarks, and you may ask yourself – Well… How did I get here?
MLE-Struct: Bethe Learning of Graphical Models
Computational and Biological Learning Seminar Series A role for circadian rhythms in maintaining neuronal properties
Machine Learning Reading Group @ CUED An introduction to Bayesian nonparametrics: some inference schemes for infinite mixture models
Microsoft Research Cambridge, public talks Turbocharging Rack-Scale In-Memory Computing with Scale-Out NUMAPlease be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Computational and Biological Learning Seminar Series From Sensation to Conception: Theoretical Perspectives on Multisensory Perception and Cross-Modal Transfer
Machine Learning Reading Group @ CUED Topics in Expectation Propagation
Kinetic challenges in solar energy conversion
Microsoft Research Cambridge, public talks Engineering the Future: an open evening for women in engineering
Microsoft Research Cambridge, public talks Admitting more tenants with tail latency SLOsPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks PCC: Re-architecting Congestion Control for Consistent High PerformancePlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Fuel cells and hydrogen – moving towards a low carbon economy
Machine Learning Reading Group @ CUED Deep Q-Learning and AlphaGo
Synaptic origins of working memory capacity
Microsoft Research Cambridge, public talks Large-Scale Camera Pose Voting and the Geometric Burstiness ProblemPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks Large-Scale Camera Pose Voting and the Geometric Burstiness ProblemPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Machine Learning Reading Group @ CUED inference failures in probabilistic programming
Computational and Biological Learning Seminar Series Perspectives on Designing Optimal User Interfaces
Machine Learning Reading Group @ CUED Variational Methods and Compressed Sensing
Inference and Learning in the Anglican Probabilistic Programming System
Machine Learning Reading Group @ CUED Fast Fusion of Multi-band Images: A Powerful Tool for Super-resolution
Microsoft Research Cambridge, public talks Pony: Co-Designing a Type System and a RuntimePlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks General-purpose representation learning from words to sentencesPlease be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Computational and Biological Learning Seminar Series Approximate Message Passing Algorithms
Microsoft Research Cambridge, public talks Information-Theoretic Bounded RationalityPlease note, this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Brain State Control by Closed-Loop Environmental Feedback
Nurturing a political economy for a sustainable future: technology, innovation, and science
Comets, Rosetta and the origin of the solar system
Unsupervised Risk Estimation with only Structural Assumptions
The stabilized supralinear network: A simple "balanced network" mechanism explaining nonlinear cortical integration
It's the Network Dummy: Exhuming the reticular theory while shoveling a little dirt on the neuron doctrine
Microsoft Research Cambridge, public talks Stamping Out Concurrency BugsPlease be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks Parallel Inference and Learning with Deep Structured DistributionsPlease be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Joint Machine Learning Seminars Day2: Information, Inference, and Energy: A Symposium to celebrate the work of Professor Sir David MacKay FRS
Joint Machine Learning Seminars Day1: Information, Inference, and Energy: A Symposium to celebrate the work of Professor Sir David MacKay FRS
The geometry of uncertainty
Microsoft Research Cambridge, public talks Into the Mountains: The Extraordinary True Story of Survival in the Andes and its Aftermath
The Game Theory of Conflict
Machine Learning Reading Group @ CUED Probabilistic programming
Games Animals Play
Machine Learning Reading Group @ CUED Learning by learning rich generative models
Microsoft Research Cambridge, public talks Freeform interactions and disrupted displaysPlease be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Games for the Brain
A more Automated Statistician
Microsoft Research Cambridge, public talks Regularized Optimal Transport and ApplicationsPlease be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Machine Learning Reading Group @ CUED Natural gradient descent and variational inference
"Losing the New Great Game"
Machine Learning Reading Group @ CUED Differentiable Data Structures and (if we have time) POMDPsNOTE Topic Change
Polymer models of cellular nucleus dynamics
Microsoft Research Cambridge, public talks What I Learned From Inventing Scala Macros?Please be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks What I Learned From Inventing Scala Macros?Please be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Wittgenstein's Games
Machine Learning Reading Group @ CUED Random projection ensemble classification
The Game of Crime and Punishment
Living Laboratory for Sustainability
Machine Learning Reading Group @ CUED Deep learning for time series
"Probabilistic Language in Quantum Field Theory"
Microsoft Research Cambridge, public talks Opportunistic Storage Maintenance (SOSP’15)
Personal Principles and the Political Game
Machine Learning Reading Group @ CUED Stochastic discrete integration
Microsoft Research Cambridge, public talks End-user programmers need first-class software engineering tools
Microsoft Research Cambridge, public talks Verasco, a formally verified C static analyzerPlease be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks Formalising and Analysing Transactional Consistency ModelsPlease be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required
Microsoft Research Cambridge, public talks Synthesising Gene Regulatory Networks from Single-Cell Gene Expression DataPlease be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks Symbiotic design for machine intelligence systemsPlease be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
General Reinforcement Learning
Microsoft Research Cambridge, public talks A Decade of ThrillPlease be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
The contribution of millisecond spike timing of cortical neurons to sensory coding and perceptual decisions
Microsoft Research Cambridge, public talks Model-Based Hand Tracking with Texture, Shading and Self-occlusionsPlease be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks A Constructive Approach to Secure-Channel ProtocolsPlease be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks Activity recognition in naturalistic environmentsPlease be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Machine Learning Reading Group @ CUED Stochastic optimization and adaptive learning rates
Microsoft Research Cambridge, public talks Modern Deep Learning through Bayesian Eyes
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Logic, Theorem Proving, and Probabilistic Programming
Microsoft Research Cambridge, public talks From Boolean to Quantitative Methods in Formal VerificationPlease be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Machine Learning Reading Group @ CUED Connections between kernels, GPs, and NNs
Thermodynamics beyond equilibrium -- the physics of periodically driven quantum systems"
Inference of a partially observed kinetic Ising model
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Detecting paraphrases using recursive autoencoders
Scott Lecture III - On the Unreasonable Effectiveness of post-Newtonian Theory in Gravitational Physicshttp://www.phys.ufl.edu/~cmw/
Machine Learning Reading Group @ CUED Bayesian optimization and its applications
Scott Lecture II - The Cosmic Barber: Counting Gravitational Hair in the Solar System and Beyondhttp://www.phys.ufl.edu/~cmw/
Computational Neuroscience Journal Club
Scott Lecture I - Was Einstein Right? A Centennial Assessmenthttp://www.phys.ufl.edu/~cmw/
Machine Learning Reading Group @ CUED LP relaxations for MAP inference
Microsoft Research Cambridge, public talks Rethinking Storage and Networking in Next Generation Racks
Manipulating quantum fluids of light in semiconductor microcavities
Meta-Bayesian Analysis
More is different - Quantum Many-Body physics in Optical Lattices
Approximate nonlinear filtering with a neural network
Efficient Inference and Learning with Intractable Posteriors? Yes, Please.
Computational Neuroscience Journal Club
Dale’s principle and the neural processing of latent factors
Microsoft Research Cambridge, public talks Talking with Reddit: Exploring limitations of recurrent neural network conversational systems.
Decoding of complex stimuli from large retinal populations
Complementary approaches to Synaptic Plasticity: Objective Functions and Biophysics
Microsoft Research Cambridge, public talks Microsoft Distinguished Research Lecture: What are the Prospects for Automatic Theorem Proving?
Microsoft Research Cambridge, public talks Incremental Neuroevolution of Reactive and Deliberative 3D Agents
Microsoft Research Cambridge, public talks Title to be confirmedMaking sense of language: It's okay to count
Efficient multi-task Gaussian process models for genome-wide association studies
Microsoft Research Cambridge, public talks Probabilistic Line Searches for Stochastic Optimisation. Please be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks The structures of induction and co-induction. Please be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks Human factors of software updatesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Harmonic Exponential Families and Group-Equivariant Convolution Networks
Higher Order Fused Regularization for Supervised Learning with Grouped Parameters
A-Star Sampling Review
Convex Factorization Machines
Microsoft Research Cambridge, public talks A Program Logic for Concurrent Objects under Fair SchedulingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Belief and Truth in Hypothesised Behaviours
Training and Understanding Deep Neural Networks for Robotics, Design, and Perception
Microsoft Research Cambridge, public talks The Power of Negations in Cryptography
Microsoft Research Cambridge, public talks The Power of Negations in Cryptography
Microsoft Research Cambridge, public talks Computer-aided Concurrent Programming using Concurrent Trace Sets
Microsoft Research Cambridge, public talks Towards Cross-fertilization Between Propositional Satisfiability and Data MiningThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Information-Theoretic Bounded Rationality
Microsoft Research Cambridge, public talks Executable Relational Specifications of Polymorphic Type Systems using PrologThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
The limits of MAP inference by MWSS on perfect graphs
Microsoft Research Cambridge, public talks "Protecting the forward edge: Is that light at the end of the tunnel?"Please be aware that this event may be recorded. Microsoft will own the copyright of any recording and reserves the right to distribute it as required.
Microsoft Research Cambridge, public talks Plug into the SupercloudThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attendi
A normative account of episodic memory in online learning over open model spaces
Scalable Gaussian Processes for Scientific Discovery
MCMC for non-linear state space models using ensembles of latent sequences(via Skype!)
Microsoft Research Cambridge, public talks Giorgia Azzurra Marson
Gradient-based hyperparameter optimization through reversible learning
Rich Component Analysis
A new MCMC hybrid scheme for Poisson-Kingman Bayesian Nonparametric mixture models
Microsoft Research Cambridge, public talks Solving Second-Order Constraints with Program SynthesisThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Capturing and simulating the interaction of light with the world around us.This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Standing on the Shoulders of a Giant: One Person’s Experience of Turing’s Impacttalkscam@microsoft.com
Contextual modulation of gamma rhythms in inhibition stabilized cortical networks
Microsoft Research Cambridge, public talks Bonsai: Reactive Tools for Data ScienceThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Modeling Confounding by Half-Sibling RegressionSHORT TALK (20 minutes)
Extreme Classification: A New Paradigm for Ranking & Recommendation
Convex and non-convex worlds in machine learning
Random Function Classes for Machine Learning
Explaining Non-Linear Classifier Decisions with application to Deep Learning
Deep Gaussian processes and variational propagation of uncertainty
Microsoft Research Cambridge, public talks Rendering Eyes for Eye-TrackingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Generative Models for Shape and AppearanceThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Deep Learning
A three-threshold learning rule approaches the maximal capacity of recurrent neural networks
The statistical structure of noise in large neural populations
Random Function Classes for Machine Learning
Microsoft Research Cambridge, public talks Asynchronized Concurrency: The Secret to Scaling Concurrent Search Data StructuresThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Unsupervised Learning with Latent Variable Models
Unsupervised Learning with Latent Variable Models
Microsoft Research Cambridge, public talks VISC: VIRTUAL INSTRUCTION SET COMPUTINGThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience Journal Club
Structural Markov laws / Geometry and HMC
Mean Field Approaches to Two Sequential Decision Making Problems.This talk will be given via Skype
Microsoft Research Cambridge, public talks Intelligible Machine Learning Models for HealthCareThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Do Deep Nets Really Need to be Deep?
Computational Neuroscience Journal Club
Rogue states: altered dimensionality of neural circuit activity in Fragile-X mice
Piezoelectric nanogenerators: Power solutions for autonomous devices
Machine Learning Reading Group @ CUED Convolutional Neural Networks
Microsoft Research Cambridge, public talks Microsoft Distinguished Research Lecture: Toward Causal Machine Learning
Machine Learning Reading Group @ CUED Hessian-free Optimisation for Neural Networks
Computational Neuroscience Journal Club
Probabilistic numerics: treating numerical computation as learning, or; it's Bayes all the way down
Heuristics of control: Habitization, fragmentation, memoization and pruning
Machine Learning Reading Group @ CUED Scalable MCMC
Direction-Only Optimisation for Neural NetworksShort talk
Microsoft Research Cambridge, public talks Queues don’t matter when you can Jump them!This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning for Quantitative Finance: A collaboration between the Cambridge Machine Learning Group and Cambridge Capital Management
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Declarative query processing in imperative managed runtimesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks "... and then just encode it to SAT."This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Causal Inference
Title to be confirmed
Microsoft Research Cambridge, public talks Enabling Connected Cars through Named Data.This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Probability and Prejudice: Bridging the Gap Between Machine Learning and Programming Languages
Patents in theory and in practice
Machine Learning Reading Group @ CUED Gaussian Process Models for Time Series
Inference for infinite mixture models and Gaussian Process mixtures of experts using simple approximate MAP Inference
Microsoft Research Cambridge, public talks Formal verification approach to modelling biochemical systemsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Big Dream Documentary Screening and Q&A Panel
Microsoft Research Cambridge, public talks An Efficient Solver for string and regular expression constraintsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Informational Geometry
Microsoft Research Cambridge, public talks A Visual Programming Language for building Artificial Biochemistries in HaskellThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Unveiling the Secrets of High-Performance DatacentersThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Deep Gaussian Processes
Machine Learning Reading Group @ CUED Combinatorial Stochastic Processes in Bayesian Nonparametrics
Evolutionary dynamics in a continuous public goods game
Microsoft Research Cambridge, public talks Pushing the Limits of Localization and Capacity in Today's Wi-Fi NetworksThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Social Media Predictive Analytics: Methods and ApplicationsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Can you convince me why your software works?This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
A remarkable set of contemplations
An introduction to the Mondrian Process
Microsoft Research Cambridge, public talks Convex low-rank models: from matrices to tensorsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Relational Machine Learning for Knowledge Graphs.This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Supporting the Mobile Nomadic User through Projected User Interfaces
Microsoft Research Cambridge, public talks Ensembles for Discovery of Compact Structures and Learning Back-propagation Forests.This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Content Placement as a Key to Leveraging Geo-Distributed Infrastructureso This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attendin
Microsoft Research Cambridge, public talks Text To Programs: Automating Computer Tasks from Natural Language DescriptionsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Technology Development
Microsoft Research Cambridge, public talks Automatic differentiation and machine learningThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Supporting Proxemic Interactions with Multi-Scale Electric Field Sensing
Microsoft Research Cambridge, public talks Supporting Proxemic Interactions with Multi-Scale Electric Field SensingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Programming and Proving with Fine-Grained Concurrent ResourcesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
New directions in liquid crystals
Dopamine - beyond reward?
Population Inference for Functional Brain Connectivity
Microsoft Research Cambridge, public talks Design and Evaluation of Proxemic-Aware Environments to Support Epistemic ActivitiesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Workshop: Machine Learning in Cambridge 2015This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Probabilistic approaches to understanding bird conversations
Microsoft Research Cambridge, public talks Death, Identity, and the Social NetworkThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Considering Tools for Artists, Creative Processes, and Design IdeationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience Journal Club
A* Sampling
Microsoft Research Cambridge, public talks Beyond acceleration: time, narratives, and the design of multiple worldsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Biomimicry - Development of Sustainable Design
Microsoft Research Cambridge, public talks Un-Computing: Shaking off the ‘Computer’ BaggageThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Solving QBF by Counterexample-Guided Abstraction RefinementThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Terahertz Science and Technology – from challenges to opportunities
Microsoft Research Cambridge, public talks Protecting encrypted cookies from compression side-channel attacksThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Context-aware programming languagesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Towards Full-Stack Security Analysis of Web ApplicationsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks The Difficulty of Preventing Code Reuse AttacksThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Development of Climate Science
Microsoft Research Cambridge, public talks Modeling, Quantifying, and Limiting Adversary KnowledgeThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Beyond the pit latrine - developing new tools for organic waste management in the global south
Machine Learning Reading Group @ CUED Variance Reduction Techniques and Stochastic Optimisation for Monte Carlo
Microsoft Research Cambridge, public talks Concurrent Algorithms for Emerging Hardware PlatformsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Orthologous networks in biological systems
Computational Neuroscience Journal Club
Fractionalised excitations in spin ice materials
Microsoft Research Cambridge, public talks The Turing trap. How the universal computer is making the internet less secure.This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Meta-Interpretive Learning and Program InductionThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Manifold correspondence: a signal processing perspectiveThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Predictable and Dependable Low-power Wireless NetworksThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Engineering at Microsoft Research - Open Evening
Microsoft Research Cambridge, public talks Laws of Programming with ConcurrencyThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Microsoft Distinguished Research Lecture - Laws of Programming with ConcurrencyThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Transfer Learning
Microsoft Research Cambridge, public talks Causal Inference and Domain AdaptationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Latent Branching Trees
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Cutting tail latency in cloud data stores via adaptive replica selectionThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Genome-wide transcriptional control of blood cell type identityThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Development of an Athlete
Experiments with Non-parametric Topic Models
An ideal limit for the performance of large wind farms
Machine Learning Reading Group @ CUED Advanced HMC
Reprogramming Animal Development
Computational Neuroscience Course (4G3)4G3 course -- repeats every Wed at 12noon, and Fri at 11am during Lent
Microsoft Research Cambridge, public talks Democratizing Electronics: Tools, Examples, and Contexts for Supporting the Construction of Personally-Meaningful Interactive ArtifactsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Active Learning
Microsoft Research Cambridge, public talks Dynamic PDP vs. Dynamic POR: Are they really different?This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Bedrock: A Software Development Ecosystem Inside a Proof AssistantThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
The Blended Paradigm: A Bayesian Approach to Handling Outliers and Misspecified Models
Microsoft Research Cambridge, public talks Checking microarchitectural implementations of weak memoryThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Deep Probabilistic Models (Wake/Sleep)
Microsoft Research Cambridge, public talks Machine Learning in an Exchange EnvironmentThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Platforms and Applications for "Big and Fast" Data AnalyticsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience Journal Club
Machine Translation with LSTMsRoom changed to LR3B in Inglis building and time changed to 10:30
Machine Learning Reading Group @ CUED PAC Bayes
Microsoft Research Cambridge, public talks Coping with the Intractability of Graphical ModelsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Oracle Variational Inference
Machine Learning Reading Group @ CUED LSTM and Recurrent Neural Networks
Microsoft Research Cambridge, public talks Microsoft Distinguished Research Lecture Series - Technological Innovation in HealthcareThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience Journal Club
Bayesian modeling for high-level real nursing activity recognition using accelerometersshort talk
Machine Learning Reading Group @ CUED Automatic Differentiation with Theano
Microsoft Research Cambridge, public talks The Physical WebThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Chaos and entropy production in spiking networks
Machine Learning Reading Group @ CUED State Space Abstraction for Reinforcement Learning
Microsoft Research Cambridge, public talks On Basing One-Way Functions on NP-HardnessThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Taming GPU threads with F# and Alea.GPUThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Kernel Embedding for Distributions
High magnetic fields as a tool for discovery
A Tutorial on Probabilistic Programming
Microsoft Research Cambridge, public talks Reasoning about GADT Pattern Matching in HaskellThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience Journal Club
Optimal control and optimal sampling: A statistical physics perspective.
Microsoft Research Cambridge, public talks Robust Distance Queries on Massive NetworksThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks An Approximate Differentiable RendererThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
The Early History of the Cavendish Laboratory
Sensory processing in neocortical networks: randomness, specificity and learning
Microsoft Research Cambridge, public talks Ancient lives, new discoveries: eight mummies, eight lives, eight storiesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Logic programming beyond PrologThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks RDFox — A Modern Materialisation-Based RDF SystemThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Lottery AuctionsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks A link between lambda calculus and mapsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks First-person Hyperlapse VideosThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Do Deep Nets Really Need To Be Deep?This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Discursis: A Computational Methodology for the Analysis of Communication DataThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks A Case for using Trend Filtering over SplinesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
New Methods in Bayesian Optimization for Machine Learning
A marginal sampler for σ-Stable Poisson-Kingman mixture models
Local Deep Kernel Learning for Efficient Non-linear SVM Prediction
A Study of Certain Models of Synaptic Plasticity in the Cerebellum and Neocortex
Microsoft Research Machine Learning and Perception Seminars Local Deep Kernel Learning for Efficient Non-linear SVM PredictionThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Unsupervised Many-to-many Object Matching
Probabilistic Numerics - a snapshot of an emerging community
Microsoft Research Cambridge, public talks Micro-Policies: A Framework for Tag-Based Security MonitorsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks End of Internship Talk: F# Type Providers: DBpedia and the Combinator FrameworkThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Hedging Against Uncertainty via Multiple Diverse PredictionsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Beyond Mindless Labeling: *Really* Leveraging Humans to Build Intelligent MachinesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Compositional ModelsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Representing microbial communities in Earth system modelsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Meeting the challenges of cancer through nanotechnology.
Microsoft Research Cambridge, public talks Towards Zero Latency Photonic SwitchingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Computational Video: Methods for Video Segmentation and Video Stabilization, and their Applications.This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Systems, Science and FreeBSDThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks The Integral Image Method for Fisheye ImagesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
On the Bethe approximation
Microsoft Research Cambridge, public talks FsLab: Doing data science with F#This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks A Verified Compiler for Probability Density FunctionsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Byte Night CambridgeThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Gaussian process regression on graphs
Microsoft Research Cambridge, public talks Image representation for synthesis and recognition using multilinear algebraThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks The Brave New World of Next-Generation NoSQL Data StoresThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Steps toward usable verificationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Practical Techniques for Auto-Active VerificationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks FSCL: homogeneous programming and execution for heterogeneous platformsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks How to Give a Great Research TalkThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks The Once and Future Internet
Implicit Representation Networks
Nervous system variability and robustness from cellular feedback control
Scalable Deep Gaussian Processes
Microsoft Research Cambridge, public talks How to Write a Great Research PaperThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Local Temporal ReasoningThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks A Modular Integration of SAT/SMT Solvers to Coq through Proof WitnessesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Energy vs materials availability. Equivalent or different?
Microsoft Research Cambridge, public talks Games, Learning and Markets WorkshopThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Geo-replicated storage with scalable deferred update replicationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Tips and Tools for Scientific Research SuccessThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Unsupervised Representation Learning
Active Learning of Linear Embeddings for Gaussian Processes
Computational Neuroscience Journal Club
Bayesian monitoring for the Comprehensive Nuclear-Test-Ban Treaty
Unifying logic and probability: A "New Dawn" for Artificial Intelligence?NOTE THE SPECIAL VENUE (Microsoft Research)
Machine Learning Reading Group @ CUED Time-varying dynamic Bayesian network reconstruction with information sharing
Cavendish Astrophysics Seminars Back to the Beginning in Cosmology and Experimental Radio AstronomyFifth Hewish Lecture
Probing many-body physics with cold atoms: The Higgs boson and quantum hexatic order.
Microsoft Research Cambridge, public talks Algebra of Parameterised GraphsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Computer Vision for Movie Making and InfographicsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks A Collapsible Approach to Higher Order VerificationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Advanced Gaussian Process approximation methods
Adaptation, coding and Bayesian computations in single neurons and neural populations
Computational Neuroscience Journal Club
Practical Machine Learning at Facebook. Examples and Lessons Learnt.Room changed to LR4
Bayesian inference for integer-valued Lévy processes with Non-Gaussian Ornstein-Uhlenbeck volatility modellingshort talk (30 mins) - NOTE TIME CHANGE
Machine Learning Reading Group @ CUED Statistical model criticism
Higgs Vortices and Black Hole Hair
Machine Learning Seminar Series @ CUED Density Estimation in Infinite Dimensional Exponential FamiliesThis talk has been canceled/deleted
Density Estimation in Infinite Dimensional Exponential Families
Microsoft Research Cambridge, public talks Thinking for Programmers: Rising Above the CodeThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Current Issues in Energy Policy
Scott Lecture III : Rydberg atoms in interaction : a new kind of quantum matter.
Microsoft Research Cambridge, public talks The Art of Corporate StorytellingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Stable Poisson-Kingman species sampling priors generated by general ordered size biased generalized gamma mixing distributions
Scott Lecture II : Counting and controlling photons non-destructively.
Microsoft Research Cambridge, public talks Mid-level Likelihoods and Constraints for 3D Scene InterpretationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience Journal Club
Scott Lecture I : Juggling with photons in a box and raising Schrödinger cats of radiation
Machine Learning Reading Group @ CUED Functional Programming
Molecular Motors and Switches at Surfaces
Microsoft Research Cambridge, public talks Protecting Programs During Resource RetrievalThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED The Bernoulli Factory problem and some connections with Computable Analysis
Microsoft Research Cambridge, public talks The shadowy life of many webcamsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks The Art of Corporate StorytellingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Seeing in depth: computations and cortical networksThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Crafting VisualizationsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Neural Network Language Modelling
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Sustainable IT and IT for SustainabilityThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Probabilistic computing applications: BayesDB and stochastic digital circuits
Machine Learning Reading Group @ CUED Loopy belief propagation
Microsoft Research Cambridge, public talks Bandits with Switching Costs: T^{2/3} RegretThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Probabilistic computing for Bayesian inference
Machine Learning and Order Book Dynamics
The future of Artificial Photosynthesis - academic curiosity or real-world application?
Microsoft Research Cambridge, public talks Publish/Subscribe for Large-Scale Social Interaction: Design, Analysis and Resource ProvisioningThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Policy Evaluation with Temporal Differences
Microsoft Research Cambridge, public talks Decision Making and Inference under Limited Information and Large DimensionalityThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Incremental Parallel and Distributed SystemsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks IC3 Modulo Theories via Implicit Predicate AbstractionThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Rich semantic representations for detailed visual recognitionThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Globally Optimizing Graph Partitioning Problems Using Message PassingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Characterizing and Improving Last-Mile Performance Using Home Networking InfrastructureThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Automatic Differentiation - Part One: A Revisionist History and the State of the ArtThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Performance Optimizations for Compiler-based Error Detection MethodologiesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Scaling Deep LearningThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Using ConvNets, MALIS and crowd-sourcing to map the retinal connectomeThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Data Driven Student Feedback For MOOCs: Global Scale Education for the 21st centuryThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Part Detection and Species IdentificationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Electric buses - can they really compete on the front line?
Matrix Means, Distances, Kernels, and Geometric Optimization
Microsoft Research Cambridge, public talks The Performance of Deferred-Acceptance Heuristic AuctionsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Alpha-Stable Poisson-Kingman Processes: Some Applications and Methodologies
Microsoft Research Cambridge, public talks Trouble-makers: Audio-video distortions as a relational resource in couples’ video callsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Mechanism design for Cloud Computing and CrowdsourcingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Achieving the Full Potential of State Machine Replication: High Throughput, Low Latency, Constant AvailabilityThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Designing Controller Abstractions for Software-Defined NetworksThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Learning to Learn for Structured Sparsity
Microsoft Research Cambridge, public talks Rethinking State-Machine Replication for Multicore ArchitecturesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Bayesian nonparametric dynamic-clustering and genetic imputation
Plagues & Economic Collapse
Parameter estimation in deep learning architectures: Two new insights.Note: time is 12 noon (*not* 11am)
Bayesian canonical correlation analysis
Microsoft Research Cambridge, public talks Computational foundations of Bayesian inference and probabilistic programmingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience Journal Club
Cambridge - Tuebingen PhD Applicant Talks (via Skype)Interview talks via Skype
Generative probabilistic programming: applications and new ideas
Particle filters and curse of dimensionalityNote: TALK via Skype!
Microsoft Research Cambridge, public talks An Online Allocation Mechanism with Pre-Commitment and its Application to Electric Vehicle ChargingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Bayesian nonparametrics: Dependency and Constraint ModelingNote: TALK via Skype!
Improving cancer survival through molecular imaging
Microsoft Research Cambridge, public talks Generative probabilistic programming: applications and new ideasThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Bayesian Nonparametric Model for Power Disaggregation
Plagues, Populations & Survival
Probabilistic machine learning for knowledge extraction from videos and textNote venue: LR6
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Topological Data Analysis: potential applications to computer visionThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
The Nature of Plagues
Machine Learning Reading Group @ CUED An introduction to Sequential Monte Carlo
Soft Matter in Motion
Microsoft Research Cambridge, public talks Declarative Static Program AnalysisThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Frequentist coverage of adaptive nonparametric Bayesian credible sets
Microsoft Research Cambridge, public talks FaRM: Fast Remote MemoryThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks The persistence of structure: Layers, time, and the estimation of optical flowThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Special CPS lecture : MAKING EXPERIMENTAL PHYSICS BITE: JAMES CLERK MAXWELL AND THE FOUNDING OF THE CAVENDISH LABORATORY
Computational Neuroscience Journal Club
Business-oriented Solutions for Resource Recovery and Reuse at Scale in Developing Countries
Plagues & History
Machine Learning Reading Group @ CUED Probabilistic Data Structures and Algorithms
Plagues & Medicine
Computational Neuroscience Course (4G3)4G3 course -- repeats every Wed at 12am, and Fri at 11am during Lent
Machine Learning Reading Group @ CUED Information Theory and Method of Types: Channels, Quantizers, and Divergences
Anglican; Particle MCMC inference for Probabilistic Programs
Sparse discriminative latent characteristics for predicting cancer drug sensitivity
Microsoft Research Cambridge, public talks Efficient Preconditioning of Laplacian Matrices for Computer GraphicsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks A Combinatorial Prediction Market for the US ElectionsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Bayesian Machine Learning for Controlling Autonomous SystemsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Open-ended inorganic nanotubes: band-gap and bands-engineering of a photo-catalyst
Microsoft Research Cambridge, public talks Real time control with lots of humans in the loopThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Typed functional probabilistic programming: ready for practical use?This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Reasoning about Eventual ConsistencyThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Principles and Techniques of Automatic DifferentiationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Hardware Neural Network AcceleratorsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Cosmic Reionization
Microsoft Research Cambridge, public talks Programming Approximate SystemsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience Journal Club
Jugaad Innovation: A Frugal, Flexible and Inclusive Way to Grow
Microsoft Research Cambridge, public talks Image Classification Using a Background PriorThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Automatic DifferentiationPart One: A Revisionist History and the State of the ArtThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Integrated Nested Laplace Approximation (INLA)
Microsoft Research Cambridge, public talks Depot: from Byzantine fault tolerance to eventual consistency in a single systemThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Randomized tree ensembles: output kernels and variable importancesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Language based web security: the operational semantics approachThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Language based web security: the operational semantics approachThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Algebraic methods in computer vision and automatic generation of efficient algebraic solversThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Spectral Learning
Title to be confirmed
Learning sensory and spatial representations from interacting excitatory and inhibitory synaptic plasticity
Microsoft Research Cambridge, public talks Multimodal Gaze-Supported Interaction
Microsoft Research Cambridge, public talks Discovering the Structure of Visual Categories from Weak AnnotationsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Neuronal processing of continuous sensory streams
Machine Learning Reading Group @ CUED Random Projections
Contrastive Learning Using Spectral Methods
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Herding: Driving Deterministic Dynamics To Learn And Sample Probabilistic Models
"Exploring Flatland with Cold Atoms"
Computational and Biological Learning Seminar Series Assembly and function of motor circuits for automatic and goal oriented movements
Computational and Biological Learning Seminar Series A talk of two distinct parts: 1) a parametric empirical Bayesian approach to integration of fMRI, EEG and MEG data, 2) prediction error in episodic memory encoding
Microsoft Research Cambridge, public talks Memristors: The Future of Computer Memory and Neuromorphic Circuits?This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks A Bigger and Faster Bitcoin: an Analysis of High-Rate Bitcoin Transaction ProcessingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Bayesian and Bandit Optimization
What the Rat's Whiskers Tell the Rat's Brain
Topological Matter and Why You Should Be Interested
Microsoft Research Cambridge, public talks Type Refinement in the AbstractThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Reflection methods for user-friendly submodular optimizationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks A Framework for Automatically Enforcing Privacy PoliciesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Nonparametric Bayesian statistics with exchangeable random structures
Dissecting genotype to phenotype relationships
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Anomaly Detection in the FieldThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Compositionality in Vision and LanguageThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Five machine learning research topics at Oxford CSThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Active Pedestrian Safety: from Research to RealityThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Managing the Network with MerlinThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Robust Models of Mouse Movement on Dynamic Web Search Results PagesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Winton 2nd Annual Symposium on Materials Discovery
Microsoft Research Cambridge, public talks How Watson Learns Superhuman Jeopardy! StrategiesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
CANCELLED: Local Deep Kernel Learning for Efficient Non-linear SVM PredictionCANCELLED
Microsoft Research Cambridge, public talks Inextensibility constraints for 3D reconstruction of deformable objects
Microsoft Research Cambridge, public talks Auctioning based Coordinated TV White Space Spectrum Sharing for Home NetworksThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Big Data and Dark Silicon: Taming Two IT Inflection Points on a Collision CourseThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Disciplined Approximate Computing: From Language to Hardware, and BeyondThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks QUIC Graphs: Relational Invariant Generation for ContainersThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Clustering Based on Predictive Variances in Gaussian Process Regression Models
Microsoft Research Cambridge, public talks Is The Rise of Cloud Storage, Cloud Computing and Social Networks a Consequence of a Failed OS (Operating System) Design?This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Want Effective Security Solutions? Let's Re-Think The Design ApproachThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Static Analysis of Cache Side ChannelsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Using sunlight-activated photo-catalysts to disinfect water
Microsoft Research Cambridge, public talks Proving Equivalences Between Prolog Semantics in CoqThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Foundations of Neuromechanical Systems Biology: Combining engineering, biology, and mathematics to understand how we moveThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Deep Gaussian ProcessesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Censorship Circumvention: Staying Ahead in a Cat-and-Mouse GameThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks 3D Reconstruction using Point-Based FusionThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Improving Time-of-Flight Range Data QualityThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks The Relationship Between Separation Logic and Implicit Dynamic FramesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Strategies for General RecognitionThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Fast and Guaranteed Learning of Overlapping Communities via Tensor Methods
Microsoft Research Cambridge, public talks Datalog for Program Analysis: Beyond the Free LunchThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars The cost of principlesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
The Cambridge Forum for Sustainability and the Environment
Non-Parametric Conditional Random Fields in Computer Vision and Image Processing
Higher Order Learning for Classification in Emergency Situations
Microsoft Research Cambridge, public talks KAT on a Wire: A Foundation for Network ProgrammingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Lifts of Convex Sets and Cone FactorizationsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Annealing Between Distributions by Averaging Moments
Microsoft Research Machine Learning and Perception Seminars Efficient Multi-dimensional Parametric Mincuts for Constrained MAP InferenceThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Recursive Deep Learning for Modeling Semantic Compositionality
Microsoft Research Cambridge, public talks SWAN: Software-driven wide area networkThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Validating SAT RefutationsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Data Structures for Efficient Inference and Optimization in Expressive Continuous DomainsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Bridging the Discrete and the Continuous in Reasoning about ProgramsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks “When is fair sharing optimal?”This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Automated Analysis of Probabilistic ProgramsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Noise estimation by PDE-constrained optimisationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Very high speed networking in VMs and bare metalThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Random Forests: One tool for all your problems.
Applied statistical genetics and next-generation association studies
Applied statistical genetics and next-generation association studies
Towards a general theory for pyrochlores: dimensional reduction, ground-state selection and new emergent electromagnetism
Creating Impact from Research
Microsoft Research Cambridge, public talks Reaping the Benefits of Partial SDN Deployment in Enterprise NetworksThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Modelling Nonlinear Dynamical Systems
The combinatorial structure of conditionally i.i.d. negative binomial processes directed by a beta process
Microsoft Research Cambridge, public talks NetFPGA: The Flexible Open-Source Networking PlatformThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Adaptive Hamiltonian-based MCMC samplers
Google's Approach to Building Relationships with Universities: Presentation and Talk by Dr David J Harper
Biological photovoltaic systems
The Two Conflicting Narratives of Metal-Optics; aka Plasmonics
Machine Learning Reading Group @ CUED Bayesian Nonparametrics in Real-World Applications: Statistical Machine Translation and Language Modelling on Big Datasets
Dendritic computation in pyramidal neurons.
Energy Efficient Electronics; Searching for the milli-Volt Switch
Computational Neuroscience Journal Club
The Opto-Electronic Physics Which Just Broke the Efficiency Record in Solar Cells
Matrix Concentration Inequalities via the Method of Exchangeable Pairs
Exoplanet Science, the way forward
Microsoft Research Cambridge, public talks MSR-Lecture: Generative Models of Images of ObjectsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
The Infinity Puzzle - The story of the Higgs Boson:From QED to the LHC via Higgs and the Gang of SixOn twitter @closefrank
Deep Gaussian Processes
Computational Neuroscience Journal Club
Microsoft Research Machine Learning and Perception Seminars Building Better Questionnaires with Probabilistic ModellingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Approaches to statistical modeling of network data
Microsoft Research Cambridge, public talks Language-Integrated Quantum Operations: A Software Architecture for Quantum ComputingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attendin
Demixing scents: Sampling-based inference in olfaction.
Machine Learning Reading Group @ CUED Sparsity: Beyond L1
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Modular reasoning for modular concurrencyThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Reconstruction and Applications of Collective Storylines from Web Photo CollectionsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Theory and Practice of Mix-NetsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Cryptoforma: Computer-Aided Cryptographic proofs with EasyCryptThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Understanding and Improving the Efficiency of Failure Resilience for Big Data FrameworksThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Bayesian nonparametric methods for non-exchangeable data
Machine Learning Reading Group @ CUED Reproducing Kernel Hilbert Spaces in Non-parametric Statistics
Microsoft Research Cambridge, public talks From Bounded to Unbounded Proofs of CorrectnessThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Big Data Analytics with All-or-Nothing Parallel JobsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Intelligent Location-Privacy Preserving MechanismsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Understanding and Improving Device Access ComplexityThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks The Ramifications of Sharing in Data StructuresThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks MSR-Lecture: Gaussian Processes for Pattern Discovery, Speaker: Andrew WilsonThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Static Verification for Web Scripting LanguagesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Non-parametric Bayesian Chromatin State Segmentation
Microsoft Research Cambridge, public talks Graph-Based Reasoning in Separation Logic for Fun and ProfitThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Programming The Parallelism ZooThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Towards Algebra-Oriented ProgrammingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED An Introduction to Sum Product Networks
Microsoft Research Cambridge, public talks CRASH/SAFE: Clean-slate Co-design of a Secure Host ArchitectureThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Austerity in MCM - Land : Cutting the computational BudgetThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Hypervisor Scheduler Enhancement Using OS-Hardware InteractionsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Fast Variational Inference in the Conjugate Exponential FamilyThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Proving Termination of Heap-Manipulating Java ProgramsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Syntactic Foundations for Machine LearningThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Fast Variational Inference in the Conjugate Exponential Family
Microsoft Research Cambridge, public talks Wireless Networking Using Smart RadiosThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Bayesian Reinforcement Learning
Microsoft Research Cambridge, public talks Trust and Mistrust on the InternetThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Mechanism design: dealing with interdependencies among agents.This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Privacy and Integrity of Remote Storage and ComputationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Semantics\sqcap Scalability\models\bot? Are Semantics and Scalability Incompatible?This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Can you build a computer without using roads? Where we are going we don't need roads!
University Lectureship in Computational Neuroscience candidate talks
Machine Learning Reading Group @ CUED Probabilistic Programming
Microsoft Research Cambridge, public talks Optimal Payments in Dominant-Strategy MechanismsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Reproducing Kernel Hilbert Spaces in Non-parametric StatisticsNote the unusual time and location to allow attendance at the RSS Ordinary meeting
Computational Neuroscience Journal Club
Microsoft Research Machine Learning and Perception Seminars Warped Mixture Models for Meaningful Clustering and Bayesian Manifold LearningThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
An application of HDP And IBP for stream-based action recognition and high dimensional data
Microsoft Research Cambridge, public talks Achieving High Data Rates in Distributed MIMO SystemsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Foresight in Ancient Mesopotamia
Using Context and Insight for the Analysis of LittleData?
Machine Learning Reading Group @ CUED Machine Learning in Speech Recognition
Foresight and Self-Control
Machine Learning Reading Group @ CUED Fragmentation Coagulation
Minimax lower bound using Assouad's method
Microsoft Research Cambridge, public talks Reasoning About Client Side Web ProgramsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Feature allocations, probability functions, and paintboxes
Sustainability and Architecture
Modelling Reciprocating Relationships with Hawkes Processes
Machine Learning Reading Group @ CUED Conditional Density Estimation
CMS Results and the Quest for the Higgs Boson
Computational Neuroscience Journal Club
Microsoft Research Machine Learning and Perception Seminars New probabilistic methods for inference of natural selection on regulatory sequences in the human genomeThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Daniel’s Adventures in Computer Vision LandThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Foresight in Music
Adaptive algorithms for Stratified Sampling Monte CarloNote the earlier time and different room to allow attendance at the RSS Ordinary Meeting
Microsoft Research Cambridge, public talks Modelling road networks in the AmazonThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Foresight in Scientific Method
Machine Learning Reading Group @ CUED RCC Planning
Microsoft Research Cambridge, public talks Automated Error Diagnosis Using Abductive InferenceThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Metamaterials and the Science of Invisibility
Microsoft Research Cambridge, public talks Detecting Sybils without GraphsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks How do we model global plant physiology? A case study of leaf phenologyThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Land use / land cover change and malaria risk in the Amazon regionThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Stratosphere: Massively parallel dataflow programmingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Discrete Optimization
Theory and applications of proper scoring rules
Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables
Machine Learning Reading Group @ CUED Advanced Sampling
“The Evolution of High-Frequency Radio Astronomy”
Computational Neuroscience Journal Club
Improving industrial energy efficiency through technology, process and behaviour innovation - policy applications of research
Foresight in Ancient Civilisations
Machine Learning Reading Group @ CUED NIPS Recap
Computational Neuroscience Course (4G3)4G3 course -- repeats Wednesdays at 12noon, Thursday at 2pm during Lent 2013
Microsoft Research Cambridge, public talks Dynamic Fair Division of Multiple ResourcesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED NIPS Recap
Microsoft Research Machine Learning and Perception Seminars From motion capture of interacting hands to video based rendering.This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Scaling wireless servicesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Bayesian and Gradient Reinforcement Learning
Microsoft Research Cambridge, public talks Handling Multitude of Nash Equilibria in Voting GamesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Spectral Edge: Making the Invisible VisibleThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Automating Separation Logic ReasoningThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attendin
Microsoft Research Cambridge, public talks Computing and Autism: How a real-world challenge drives a computing research agendaThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Spectral Clustering
Bayesian inference and machine learning in cosmology and particle physics
The combinatorial structure underlying a beta processes is that of a continuum of Blackwell-MacQueen urn schemes
Microsoft Research Cambridge, public talks Optimal kernel choice for kernel hypothesis testingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Next Wave of Telco´s InnovationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Modern Neural Networks: the Hinton Camp
Learning of Milky Way Model Parameters Using Matrix-variate Data in a New Gaussian Process-based Method
Computational Neuroscience Journal Club
Smart energy meters for all - sustainability panacea or waste of money?
Microsoft Research Cambridge, public talks TypeScript: JavaScript development at scaleThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks MIT Media Lab's Information Ecology GroupThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks A computer-checked proof of the Odd Order theoremThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Distributional compositional models of semantics
“Precision Mass Measurement: ωcyclotron is not qB/m, does E=mc2?”
Coding with Dendrites
"Coherent Control of Electronic and Nuclear States in a Quantum Dot: A New Dimension for Modern Photonics"
Instantaneous Mapping of Excitonic Transport in Biomimetic Systems by Multi-dimensional Coherent Spectroscopy
Computational Neuroscience Journal Club
Space, sleep, brain rhythms and memory
Identification of causal effects
Microsoft Research Machine Learning and Perception Seminars Towards ad hoc interactions with robotsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Probabilistic methods for biomolecular structure simulations
Machine Learning Reading Group @ CUED Completely Random Measures in Bayesian Nonparametrics
Computer Laboratory Systems Research Group Seminar Distributed, Real-Time Bayesian Learning in Online Services
Computational Neuroscience Journal Club
Microsoft Research Machine Learning and Perception Seminars From the Information Extraction Pipeline to Global Models, and BackThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Dynamically Enforcing Knowledge-based Security PoliciesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attendin
Machine Learning Reading Group @ CUED Model selection in a large compositional spacenote: the first 45 mins will be planning and the talk will start at around 3:15pm
Two Centenaries - the Wilson Cloud Chamber and the Discovery of Cosmic Rays”
Microsoft Research Cambridge, public talks Distributed Opportunistic Scheduling: A Control Theoretic ApproachThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Probabilistic Latent Tensor FactorisationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks A new metric on kernel matrices with applications to matrix meansThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Compressed Sensing Applications in Functional Magnetic Resonance Imaging
Microsoft Research Cambridge, public talks Convergent and Scalable Algorithms for Expectation Propagation Approximate Bayesian InferenceThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks On Synthesis of Verification ToolsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Climate finance: barriers and opportunities
Multi-Label Learning with Millions of Categories
Microsoft Research Cambridge, public talks Fast and Reliable Online Learning to Rank for Information Retrievalo This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attendin
Microsoft Research Cambridge, public talks Scale-Out ProcessorsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Playing in the Grey Area of ProofsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Efficient Sampling with Kernel Herding
Microsoft Research Cambridge, public talks Craig InterpretationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Capture of dynamic scene using multiple cameras provides rich spatial-temporal information that can be used for solving challenging computer vision problems.This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks From Pose Estimation to Fine Grained Activity RecognitionThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Perceiving is Believing: Bayesian inference in unexpected places.
Codesign in action: the hardware and software architecture of Blue Gene/Q and its impact on scientific applications
Microsoft Research Machine Learning and Perception Seminars Tell Me Where You’ve Lived and What You Want -- I’ll Tell You What You Like and NeedThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Latent Hough Transform for Object DetectionThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Frank-Wolfe optimization insights in machine learning
Microsoft Research Cambridge, public talks Satisfiability: connecting logic and probabilityThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Context sensitive information: Which bits matter in data?This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks HyperDex: A Consistent, Fault-tolerant, Searchable NoSQL Store
Microsoft Research Cambridge, public talks Verifying Concurrent Programs with Relaxed Conflict DetectionThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Concurrent Data Representation SynthesisThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Deep learning for vision: a case study for visual textures, and some thoughts on a general framework
Microsoft Research Cambridge, public talks Achieving High Data Rates in a Distributed MIMO SystemThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Thermodynamics as a Theory of Decision-Making with Information Processing Costs
Microsoft Research Cambridge, public talks On Agent Failures in Totally Balanced Cooperative GamesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Cube and Conquer: Guiding CDCL SAT Solvers by LookaheadsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars SmartDesign: Living with Geometric ComplexityThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Human Behavior Classification with Infinite Hidden Conditional Random Fields
Microsoft Research Machine Learning and Perception Seminars Part A: Non-parametric image optimization & Part B: Crowdsourcing gaze data collectionThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
What scientists can do for sustainability that CEOs and Ministers can't
Microsoft Research Cambridge, public talks Causality for Free! Parametricity Implies Causality for Functional Reactive ProgramsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Multi-Label Learning with Millions of Categories & Generalized Multiple Kernel Learning with a Million KernelsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Data Modelling With Neural Networks (II): Content-Addressable Memories And State-Of-The-Art Error-Correcting CodesLast Lecture!
Microsoft Research Machine Learning and Perception Seminars Prediction Strategies without LossThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Approximating Probability Distributions (IV): Variational Methods
Microsoft Research Cambridge, public talks How to present a poster at an international conferenceThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Body Part Recognition: Making Kinect RobustThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks F# TutorialThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks .NET Gadgeteer: A Platform for Custom DevicesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Microsoft Research Connections and Cloud Computing for ScienceThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks How to give a great research talkThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Fast Gaussian process learning for regression, semi-supervised classification, and multiway analysis
Microsoft Research Cambridge, public talks How to write a great research paperThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Non-parametric Bayesian Learning of User Preferences: Elicitation, Sparsification and Beyond
Microsoft Research Cambridge, public talks Microsoft Academic SearchThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Proving that programs eventually do something goodThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Human Computing and Crowdsourcing in SearchThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Towards Predictable Data Centers- Why Johnny can't use the cloud and what can we do about it?This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Machine Learning for medical Image AnalysisThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Planetary prediction services for societyThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Realizing Touchless Interaction in the Operating TheatreThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Functional first programming in an information-rich worldThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Structured Prediction using Linear Programming Relaxations
Microsoft Research Cambridge, public talks How reciprocity renders networks irrelevant for cooperation in social dilemmasThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Aggregators and the News Industry: Charging for Access to ContentThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Treasure HuntThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Network Design and DefenceThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Blotto On Facebook: The Effect of Social Relations On Strategic InteractionThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Game theory for Security: Key Algorithmic Principles, Deployed Systems, Lessons LearnedThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Decentralized Auctions for Uniformly Semimodular BiddersThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Managing air traffic disruptions through strategic prioritizationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Scarce attention and the value of page rank in online searchThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Harvesting the Wisdom of CrowdsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Communication networks in marketsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience Journal Club
Advanced Monte Carlo Methods and Variational Inference
Microsoft Research Cambridge, public talks Machine Learning for medical Image AnalysisThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Dependent normalized random measures
Computational and Biological Learning Seminar Series Optimal integration of top-down and bottom-up uncertainty in humans, monkeys, and neural networks
Machine Learning Reading Group @ CUED GP-BUCB for Spinal Cord Injury Therapy: Batch Active Learning with Applications
Microsoft Research Cambridge, public talks The RCUK Digital Economy Theme – A Catalyst for ChangeThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Probabilistic Programming and Probabilistic Databases for Large-scale Knowledge-base ConstructionThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Discovery of Complex Behaviors through Contact-Invariant Optimization
Microsoft Research Cambridge, public talks Energy Debugging in SmartphonesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Scattering theory of topological insulators and superconductors
Microsoft Research Cambridge, public talks Web Science: Politics, Demographics and MoreThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Graphical communication of variability, risk and uncertainty
Computational Neuroscience Journal Club
Approximating Probability Distributions (I)-(II): Monte Carlo Methods and Variational InferenceTwo lectures!
Microsoft Research Machine Learning and Perception Seminars The Inverted Multi-IndexThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED On Data (In-)Dependent Hashing
Modern advances in likelihood ratio inference
An Introduction to Statistical Inference, Data Modelling & Pattern RecogntionTwo Lectures!
Sustainable Manufacturing and the Myth of Efficiency
Machine Learning Reading Group @ CUED Poisson Processes: Applications in Machine Learning
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Information Spreading in Social NetworksThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Communication over noisy channels (III)Note unusual time
Machine Learning Reading Group @ CUED A rough guide to the Aldous-Hoover representation theorem for exchangeable arrays
Machine Learning Reading Group @ CUED Title to be confirmed
Machine Learning Reading Group @ CUED Dirichlet Process Mixture Models and Bayesian Nonparametric Density Estimation
COSMIC RAYS, CLIMATE AND THE CERN CLOUD EXPERIMENT
Microsoft Research Cambridge, public talks Weightedness and Structural Characterization of Hierarchical Simple GamesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience Journal Club
Learning with nonparametric dependence and divergence estimation
Communication over noisy channels (II)
Past work and future interests: respectively, the scattering of Anyons and Monte Carlo methods
Machine Learning Reading Group @ CUED "Structured sparsity and convex optimization"
Visuomotor behavior in naturalistic tasks: from receptive fields to value functions
The End of the Standard Model & the Last Particle?
Microsoft Research Cambridge, public talks Weightedness and Structural Characterization of Hierarchical Simple GamesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Non-parametric Bayesian Method and Maximum-A-Posteriori Inference in Statistical Machine Translation
Computational and Biological Learning Seminar Series Optimal encoding and decoding in sensory populations
Microsoft Research Machine Learning and Perception Seminars Topic Models for Human Activity UnderstandingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
"Probing sensory representations with metameric stimuli"The host for this talk is Máté Lengyel, Engineering Department. Note that the title and topic of the talk have been revised.
Adrian Seminars in Neuroscience Near-optimal integration of evidence for decision-making in the rat.
Communication over noisy channels (I)
Machine Learning Reading Group @ CUED Financial Problems tractable to Machine Learning Methods
Microsoft Research Cambridge, public talks Learning and Discovery of Clinically Useful Information from Medical ImagesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED A Predictive Study of Bayesian Nonparametric Regression Models
Entropy and data compression (IV)New: Previous lectures can be downloaded!
Microsoft Research Cambridge, public talks Rekeyable Ideal Cipher from a Few Random Oracles
Microsoft Research Cambridge, public talks Verification and Synthesis by SciductionThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Title to be confirmed
Machine Learning Reading Group @ CUED Weighted Finite-state Automata
Microsoft Research Cambridge, public talks Confining the Ghost in the Machine: Using Types to Secure JavaScript SandboxingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Efficient Cryptography for the Next Generation Secure CloudThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Entropy and data compression (III)New: Previous lectures can be downloaded!
Microsoft Research Cambridge, public talks Computer Assisted Interventions: Challenges in design, development, validation and deployment of novel techniquesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Active Learning
Microsoft Research Cambridge, public talks Mathematical modelling on remotely-sensed dynamics of marine primary producersThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Generating Code by LearningThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Learning and Representing: a Jointly Optimal ApproachThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Building Flexible High-Performance Key-Value SystemsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks The science of guessingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Efficient Machine Learning with High Order and Combinatorial Structureso This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attendin
Microsoft Research Cambridge, public talks Mean Field Equilibria of Dynamic Auctions with LearningThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks From certified languages to their certified implementationsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Empirical evidence in privacy economicsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Towards Networks without Management ComplexityThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Towards Networks without Management ComplexityThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Supporting Active Reading Activities With a Multi-Slate SystemThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Mementos, Memento Mori, and More: Digital Assets across the Human LifespanThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Compositional Inter-Language Relational VerificationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Topic Modelling
Microsoft Research Cambridge, public talks Communication Complexity and When Dubious Data Structures can be DetectedThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Non-Interactive Verifiable ComputationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Ethnography: Understanding natural interaction with our communication technologiesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Methods in decision theory for conservation researchThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Solutions for a sustainable and desirable futureThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Searching, Scanning and Smelling - a portfolio presentationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Structural Learning of Dynamic Bayesian Networks
Microsoft Research Cambridge, public talks Sampling based on local signal analysis: applications to photo-realistic imagery and beyondThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Algebraic Foundations to Effect-Dependent OptimisationsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Your Abstractions are Worth^H^H^H^H^HPowerless!Non-Volatile Storage and Computation on Embedded Devices*(*Batteries Not Included)This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks A joint part- and pixel-wise approach to human pose estimationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Approaches to Multiscale Modelling of Complex SystemsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Machines Learning Human MindsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Mean Field Equilibria of Dynamic Auctions with LearningThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Efficient Range Querying in Distributed GamesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Understanding variability and temporal trends in biosphere-atmosphere CO2 exchange through integrating models with dataThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks ORCHID: Human-agent collectives for disaster response and the smart gridThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars ORCHID: Human-agent collectives for disaster response and the smart grido This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attendin
Machine Learning Reading Group @ CUED Extended ensemble Monte Carlo
Infinite Structured Explicit Duration Hidden Markov Models
Microsoft Research Cambridge, public talks Towards Practical Randomization in Concurrent Data StructuresThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Malleability in Modern CryptographyThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Decision Theory in Conservation Biology, from Systematic Conservation Planning to Scenario-Based policy assessmentsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Short and long-term effects of climate, disturbance, and forest management on regional carbon storage and emissions under current and proposed policy plansThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Metadynamics
Machine Learning Reading Group @ CUED "Symmetry and sufficiency"
Ab-initio simulation of water and its ions
Colouring the Noise
Entropy and data compression (II)PLEASE NOTE: There will be no lectures during the Easter break (12 March - 9 April). Lectures will resume on 16 April.
Microsoft Research Cambridge, public talks A Population Approach to System Design
Microsoft Research Cambridge, public talks A Population Approach to System Design
Microsoft Research Machine Learning and Perception Seminars Sequential Decision Making in Experimental Design and Sustainability via Adaptive SubmodularityThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Exploring Compression and the Aesthetics of CreativityThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Entropy and data compression (I)
Life and Death of a Cell
Probabilistic computing: computation as universal stochastic inference, not deterministic calculation
Computational Neuroscience Journal Club
Introduction to information theory
Microsoft Research Cambridge, public talks Evaluating User-Adaptive Systems: Lessons from Experiences with a Personalized Meeting Scheduling AssistantThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Exploiting Variable Impedance for Robotics: Mimic or Optimize?This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Life in the Ancient World
Graphene: Materials in the Flatland
Computational Neuroscience Journal Club
The Spark of Life
Microsoft Research Cambridge, public talks Covering problems arising in Gamma Knife radiosurgeryThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Robust Statistics: An Overview and Some Questions
Microsoft Research Cambridge, public talks Security in untrusted storageThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Information bottleneckPlease note the change in time. This RCC will take place at 15:00-16.30pm.
The Polariton Condensate in Semiconductor Microcavities
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks The Undiscovered Continents of Human PotentialThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
From Genomes to the Diversity of Life
Machine Learning Reading Group @ CUED Ensemble Methods in Machine Learning
Microsoft Research Cambridge, public talks Practical Abstractions for Dynamic and Parallel SoftwareThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Homomorphic Encryption from Ring Learning with ErrorsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks High-throughput, Multiscale modelling approaches for understanding bacterial signallingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Metastability and Coherence of Repulsive Polarons in a Strongly Interacting Fermi Mixture
Microsoft Research Cambridge, public talks Naiad: Iterative and Incremental Data-Parallelism using Differential DataflowThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Scaling Machine Learning for the Internet
Microsoft Research Machine Learning and Perception Seminars Closing the gap between weakly and fully supervised methodsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Bound Analysis of Imperative Programs with the Size-change AbstractionThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Do biological cells care about physics?
Computational Neuroscience Journal Club
Bayesian Quadrature for Prediction and Optimisation
Modeling a non-linear EPSPs integration site in dendrites and its impact on computational capacities
Microsoft Research Cambridge, public talks Concurrency Assertions – Providing the Right Semantics to ASSERT StatementsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Polymer Solar Cells
Efficient MCMC for Continuous Time Discrete State Systems
Microsoft Research Cambridge, public talks Complementing User-Level Coarse-Grain Parallelism with Implicit Speculative ParallelismThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Bayesian Computation Without Tears: Probabilistic Programming and Universal Stochastic Inference
Microsoft Research Machine Learning and Perception Seminars Beyond the Piece of Cardboard: Learning to Adjust PhotographsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Real versus Realistically Rendered Ground Truth: Can we use Computer Graphics for Performance Evaluation?This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
A Maximum Entropy Perspective on Spectral Dimensionality Reduction
Microsoft Research Cambridge, public talks Spanish forest dynamics: Constraining models with dataThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Approximate Inference in Gaussian Process Models
Towards a new paradigm for early-type galaxies.
Microsoft Research Cambridge, public talks CMA-ES – a Stochastic Second-Order Method for Function-Value FreeNumerical OptimizationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars PARIS: Probabilistic Alignment of Relations, Instances, and SchemaThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Statistical problems in Astronomy and High Energy Physics
Microsoft Research Cambridge, public talks The Marriage of Bisimulations and Kripke Logical RelationsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Probabilistic programs and the computability and complexity of Bayesian reasoningThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Information Retrieval based Program Synthesis
Numerical approach to structure, folding and aggregation of proteins
Microsoft Research Cambridge, public talks Large-scale Retrieval with Ivory and MapReduce
Microsoft Research Cambridge, public talks Analysing biological information processing with mechanistic modular modelsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Proper local scoring rules
Variational Inference for Non-Conjugate Models
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Poirot — a concurrency sleuthThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Machine Learning Reading Group @ CUED Hyper and structural Markov laws for graphical models
Microsoft Research Cambridge, public talks Natural Interactions & Computing for Global Development at MSR IndiaThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Following Function in Real Time: Towards the Next Generation of Batteries, Supercapacitors and Fuel Cells for Transport and Grid Applications
Not so naive Bayesian classification
Computational Neuroscience Journal Club
Microsoft Research Machine Learning and Perception Seminars Exclusive Pólya Urns and their applicationso This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attendin
Bayesian Nonparametrics: Latent Feature and Prediction Models, and Efficient Inference
Machine Learning Markets
Microsoft Research Cambridge, public talks Structured Prediction Models for High-level Computer Vision TasksThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Computational Neuroscience Journal Club
Factored Shapes and Appearances for Parts-based Object Understanding AND Transformation Equivariant Boltzmann Machines
Reconciling intuitive and Newtonian physics
Optimal Reinforcement Learning for Gaussian Systems
Exclusive Pólya Urns and their applications
Computational Neuroscience Journal Club
Microsoft Research Machine Learning and Perception Seminars Information-Greedy Global OptimisationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Abstractions in Satisfiability SolversThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks The IITM Model and its Application to the Analysis of Real-World Security ProtocolThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks SpecNet: Spectrum Sensing Sans Fronti`eresThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Mechanism Design without Money via Stable MatchingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks "Coupled dynamics of traits and populations in response to environmental change".This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Vector Commitments with Efficient Protocols for Privacy-preserving Smart Billing ApplicationsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Energy Functionals: Choices and Consequences For Medical Image SegmentationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Practical Boogie (on the example of VCC)This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Statistical learning for structural neuroimaging dataThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attendin
Microsoft Research Cambridge, public talks "Egalitarian Gradient Descent": A General Preconditioning Scheme for Deformable Image RegistrationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars SocialFusion: Fusing Mobile, Sensor, and Social Computing in the Cloud To Enable Next-Generation Context-Aware ApplicationsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Tunable Static Inference for Generic Universe TypesThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Approximate Bayesian Inference for Large Scale Inverse Problems: A Computational Viewpoint
Microsoft Research Cambridge, public talks Perception by "Patterns" in the BrainThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Stochastic signal encoding strategies in cellsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks A Language for Type-Safe Web ProgrammingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Probing the basis of neuronal branchingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Some Practical Reflections on Graphical Models
Microsoft Research Cambridge, public talks Plant Organs Regeneration: Measuring and Modelling Self‐OrganizationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Principles of Humanoid Locomotion ControlThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Beyond Keyword Search: Discovering Relevant Scientific Literature
Microsoft Research Cambridge, public talks From Gene Networks to Tissue Engineering: Computational Models of Pattern FormationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Some recent developments in approximate inference: learning and control
Microsoft Research Cambridge, public talks Search is not only about the Web - An Overview on Printed Document Search and Patent Search
Graphical Models for Bandit Problems
Microsoft Research Cambridge, public talks Scaling transaction processing through data-oriented execution- This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attendin
Microsoft Research Cambridge, public talks How to present a poster at an international conferenceThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Rough guide to being an entrepreneurThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks GadgeteerThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Blue skies to ground truth: Machine learning for Kinect human motion captureThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Computer science as applied philosophyThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks Making the most of your PhD; now and in your careerThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks How to give a great research talkThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Cambridge, public talks How to write a great research paperThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Geometrical Description of the Fractional Quantum Hall Effect
Microsoft Research Cambridge, public talks How to force unsupervised neural networks to discover the right representation of images
Bayesian regression and classification with multivariate sparsifying priors
Organization of neuronal population activity in auditory cortex.
Microsoft Research Cambridge, public talks PEPSI: Privacy-Enhanced Participatory Sensing Infrastructure
Microsoft Research Cambridge, public talks Co-opetition in network tasks
Microsoft Research Cambridge, public talks Identifying Peer Effects through Randomized Trials in Networks
Microsoft Research Cambridge, public talks Network cognition and individual behaviour
Microsoft Research Cambridge, public talks Network Formation in the Presence of Contagious Risk
Microsoft Research Cambridge, public talks Competitive Contagion in Networks
Microsoft Research Cambridge, public talks Social networks, institutions, and the process of globalization
Microsoft Research Cambridge, public talks Optimal Communication in Teams
Microsoft Research Cambridge, public talks Social Network, Personality, and Performance
Building planets and the ingredients for life between the stars
The topology of smectics
Statistical image processing for electron microscopy on molecular machines
Microsoft Research Cambridge, public talks Coming to Grips with Complexity in Computer-Aided Verification
Microsoft Research Cambridge, public talks Efficient space-variant deconvolution
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Computing for Development: A New High Impact Research Area
An FX trading system using adaptive reinforcement learning(rescheduled from May 24th)
Microsoft Research Cambridge, public talks Is my model too complex? Evaluating model formulation using model reduction
Censored Exploration in Dark Pools
Microsoft Research Cambridge, public talks Programmable Self-Assembled DNA-Based Autonomous Molecular Devices
Bayesian Clustering with the Dirichlet-Process Prior
Machine Learning Reading Group @ CUED Connections between Gaussian Process Regression, Kalman filtering and RTS Smoothing
Computational Neuroscience Journal Club
An FX trading system using adaptive reinforcement learningRESCHEDULED FOR JUNE 7th
Microsoft Research Cambridge, public talks Fences and Stability in Weak Memory Models
Machine Learning Reading Group @ CUED On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
Nonparametric maximum likelihood estimation
Dynamics of soft interfaces, real and imagined
Microsoft Research Cambridge, public talks How to Make Ad Hoc Proof Automation Less Ad Hoc
Microsoft Research Cambridge, public talks Towards a comprehensive assessment of the interactions between the terrestrial biosphere and the climate system
Hierarchical hidden Markov models revisited
Machine Learning Reading Group @ CUED Expectation Propagation for POMDP Spoken Dialogue Models
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Active visual category learning
Flavour Physics at the Large Hadron Collider
Navigational guidance systems in the human brainThe host for this talk is Dr. Máté Lengyel, Engineering Dept.
Microsoft Research Cambridge, public talks Bringing Intelligence at the Edges to Accommodate Diversity in the Internet
Microsoft Research Cambridge, public talks Algorithmic Market Design: Spectrum Sales and BitTorrent Communities
Microsoft Research Cambridge, public talks Turing and Darwin: Saving the environment by combining computation and human insight
Microsoft Research Cambridge, public talks Fuzzy thinking: single neuron variation in RNA state space
Microsoft Research Cambridge, public talks Can We Defy Nature’s End?
Microsoft Research Cambridge, public talks Fifteen Years of Field Robotics in Australia
Microsoft Research Cambridge, public talks The Complexity of the Homotopy Method, Equilibrium Selection, and Lemke-Howson Solutions
Microsoft Research Cambridge, public talks Understanding and conserving biodiversity in a changing world
Microsoft Research Cambridge, public talks Politics, Preferences and Permutations: Probabilistic Reasoning with Rankings
Microsoft Research Cambridge, public talks Delay Reduction for Adaptive Scheduling in Wireless Networks and Aggregated Equilibrium for Resource Sharing Games
Microsoft Research Machine Learning and Perception Seminars Formal Methods in Synthetic Biology
Microsoft Research Cambridge, public talks Efficient Data Structures for Nonlinear Video Processing
Microsoft Research Cambridge, public talks Towards a Colonic Crypt Model with Realistic, Deformable Geometry
Mandarin Dasher
Characterization of the Ewens-Pitman family of random partitions by a deletion property and a de Finetti-type theorem for exchangeable hierarchies
Microsoft Research Cambridge, public talks Modeling and Evaluating Information Retrieval Results
Microsoft Research Cambridge, public talks SSLShader: Cheap SSL Acceleration with Commodity Processors
Microsoft Research Cambridge, public talks Active visual category learning
Microsoft Research Cambridge, public talks Molecular evolution of stochastic switching
Microsoft Research Cambridge, public talks Molecular evolution of stochastic switching
Microsoft Research Cambridge, public talks Spatial Tactile Feedback Support for Mobile Touch-screen Devices
Microsoft Research Cambridge, public talks 3D Reconstruction meets GPGPU meets Image Analysis
Microsoft Research Cambridge, public talks Training Random Forests with Ambiguously Labeled Data
Microsoft Research Cambridge, public talks Representing and Querying Large-scale Uncertainty
Microsoft Research Cambridge, public talks Guessing Program Annotations with Probabilistic Inference
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Tracking and Analysis of Animal Movement
Microsoft Research Cambridge, public talks Programming-Language Techniques for Secure Cryptography
Microsoft Research Cambridge, public talks Optimization under Uncertainty: Understanding the Correlation Gap
Microsoft Research Cambridge, public talks High-level Languages for Low-level Systems
Microsoft Research Machine Learning and Perception Seminars Enforcing topological constraints in energy-based image segmentation
Microsoft Research Cambridge, public talks Research of the new Computer Vision and Mulitmodal Computing at MPI Sarrbruecken
Microsoft Research Cambridge, public talks Executable Knowledge for Molecular Systems Biology
Microsoft Research Cambridge, public talks Longitudinal Evaluation of API Usability and Designing Support for Collaborative Search around the Tabletop
Microsoft Research Machine Learning and Perception Seminars On a first-order primal-dual algorithm with applications to convex problems in computer vision
Microsoft Research Cambridge, public talks Learning generative models of images by factoring appearance and shape
Microsoft Research Cambridge, public talks “Otherworld” - Giving Applications a Chance to Survive OS Kernel Crashes
Microsoft Research Cambridge, public talks Software Synthesis using Automated Reasoning
Compressed sensing: Lecture 8
Generalized sampling and infinite-dimensional compressed sensing
Compressed sensing: Lecture 7
Compressed sensing: Lecture 6
Minimisation of sparse higher-order energies for large-scale problems in imaging
Compressed sensing: Lecture 5
Compressed sensing: Lecture 4
The Dantzig selector for high dimensional statistical problems
Computational Neuroscience Journal Club
Compressed sensing: Lecture 3
Compressed sensing: Lecture 2
Microsoft Research Cambridge, public talks Machine Learning for WLAN Positioning
Compressed Sensing in RF
Compressed sensing: Lecture 1
Rigid body motion in conformal geometric algebra
Nonlinear Dynamics of Learning
Microsoft Research Cambridge, public talks Hidden Markets: Designing Efficient but Simple Electronic Markets
Microsoft Research Cambridge, public talks Optimization for Pixel Labeling Problems With Structured Layout
Microsoft Research Cambridge, public talks Energy Minimization with Label Costs and Applications in Multi-Model Fitting
Machine Learning Reading Group @ CUED Exchangeability
Microsoft Research Cambridge, public talks Parameter Search and Robustness Analysis from Temporal Logic Specifications in Biochemical Reaction Networks
Microsoft Research Cambridge, public talks Reasoning about concurrent stochastic systems
Exponential Conditional Volatility Models
CRH: a Central Reference Handling system
The Science and Beauty of Nebulae
Scott Lecture III - Quantum InterferenceA Drinks Reception will follow the lecture in the Pippard Lecture Theatre Foyer
Machine Learning Reading Group @ CUED Deep Belief Networks for Phone Recongition
Challenges in implementing the Bayesian paradigm
Scott Lecture II - Quantum InterferenceA Drinks Reception will follow the lecture in the Pippard Lecture Theatre Foyer
Scott Lecture I - Quantum InterferenceA Drinks Reception will follow the lecture in the Pippard Lecture Theatre Foyer
Terror by Beauty: Russo-Soviet perspectives
Expectation Propagation in Sparse Linear Models with Spike and Slab Priors
Probabilistic matrix factorization for reconstruction of missing data
Machine Learning Reading Group @ CUED The effect of normalization -- a case study in speech synthesis
Microsoft Research Cambridge, public talks Frugal Procurement Auction Design
Model criticism in complex Bayesian evidence synthesis for infectious disease models
Cosmology and fundamental physics with the Square Kilometre Array
Beauty & Happiness: Chinese perspectives
Title to be confirmed
Atom-dimer and dimer-dimer scattering in fermionic mixtures near a narrow Feshbach resonance
Machine Learning Reading Group @ CUED Post-NIPS Highlight session
Microsoft Research Cambridge, public talks Logic and Probability: The Computational Connection
Beauty & Attraction: in the eyes of the beholder
Machine Learning Reading Group @ CUED Optimal weighted nearest neighbour classifiers
Nonparametric maximum likelihood estimation
Molecular Soup* with a twist : from Displays to Lasers for Holography (*Self-Organised Uniaxial Photonics)
Microsoft Research Cambridge, public talks Learning and Coordination in Networks
The Sound of Beauty
Conserved principles of movement generationThe host for this talk is Dr. Máté Lengyel, Engineering Dept., m.lengyel@eng.cam.ac.uk
Machine Learning Reading Group @ CUED Kernel Methods
A computer-vision based facial gesture switch
Quantum Beauty
Machine Learning Reading Group @ CUED Machine Learning techniques in computer vision applications
Frameworks for causal inference
Computational Neuroscience Journal Club
Differential Geometric MCMC Methods
Beauty & The Grotesque
Machine Learning Reading Group @ CUED Infinite multiple relational models for complex networks
Microsoft Research Cambridge, public talks Making OpenCL simple with Haskell
Mining viral datasets
Microsoft Research Cambridge, public talks Albert Atserias, Universitat Politècnica de Catalunya, Microsoft Research Lectures
Microsoft Research Cambridge, public talks Cooperation, Power and Conspiracies
Beauty & Truth
Machine Learning Reading Group @ CUED Completely Random Measures
Microsoft Research Cambridge, public talks Experience and problems with compiling data parallel languages
Computational Neuroscience Journal Club
Universal Bayesian Agents: Theory and Applications
Machine learning in cancer research (a.k.a CRI meets CUED)(note new date)
Novi Quadrianto
Microsoft Research Cambridge, public talks Branching vs. Linear Time: Semantical Perspective
Microsoft Research Cambridge, public talks CIEL: a universal execution engine for distributed data-flow computing
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Improving the energy model of stereo matching algorithms
Microsoft Research Cambridge, public talks Propagation of Rumour Through a Social Network
A New Machine Learning LibraryNote unusual time
Microsoft Research Cambridge, public talks Network Economics seminar / Diffusion and Cascading Behavior in Random Networks
Microsoft Research Cambridge, public talks Towards Automation of Protein NMR
Microsoft Research Cambridge, public talks How Hard is Competition for Rank?
Microsoft Research Cambridge, public talks Software Lock Elision for x86 Machine Code
Introduction to Geometric Algebra II
Machine Learning Reading Group @ CUED Submodularity for Machine Learning
Microsoft Research Cambridge, public talks Towards a Non-Commutative Logic of Effects,
Computational Neuroscience Journal Club
Microsoft Research Machine Learning and Perception Seminars Handling temporal variation of unknown characteristics in streaming data analysis.
Learning item trees for collaborative filtering with implicit feedback
Microsoft Research Cambridge, public talks Lifted Message Passing: A Step Towards Gaining a 'Big Picture' View on AI
Title to be confirmed
Non-Smooth-Norm Image Reconstruction from Noisy Data
Machine Learning Reading Group @ CUED NIPS Highlight Session
The 2010 CU Canon Foundation Lecture : Creative tensions between science and technology
Microsoft Research Cambridge, public talks Realizability and Parametricity in Pure Type Systems: An application
Microsoft Research Cambridge, public talks Polynomial Learning of Distribution Families
Machine Leaning Journal Club
Machine Learning Reading Group @ CUED Poisson Processes
Microsoft Research Cambridge, public talks Verification of Imperative Programs Through Characteristic Formulae
Crowdsourcing data modelling
How English Libel Law Threatens Science
Out-of-band Language Modelling
Domain wall in a chiral p-wave superconductor: Majorana fermions and their transport properties
Machine Learning Reading Group @ CUED Convex Optimisation
CANCELLEDCANCELLED
Charge transport in molecular semiconductors – Bloch electron or hopping transport ?
Microsoft Research Machine Learning and Perception Seminars Bayesian Inference with Kernels
Microsoft Research Cambridge, public talks Bayesian Inference with Kernels
Microsoft Research Cambridge, public talks How can we model complex ecosystems with stochastic interactions between individuals at different spatial and temporal scales? Some case studies
Microsoft Research Cambridge, public talks Modelling ecological systems under environmental change.
Microsoft Research Cambridge, public talks Three Small Steps ... to Reconceiving Machine Learning
South Africa's Involvement With Square Kilometre Array Bid: Infrastructure and Electromagnetic Quietness
Microsoft Research Cambridge, public talks Using SAT Solvers for Cryptographic Problems
Short talks: Mixed Cumulative Distribution Networks; Nonparametric Bayesian community discovery in social networks; Expectation Propagation for Dirichlet Process Mixture Models
Microsoft Research Cambridge, public talks Async in Visual Basic and C# - worth the Await!
Layered Systems of Cold Polar Molecules
Microsoft Research Cambridge, public talks Statistical Significance Analysis of Motif Discovery
Machine Learning Reading Group @ CUED An Introduction to Bayesian Statistics
Microsoft Research Cambridge, public talks A relationship-based approach to the verification of multi-object invariants
Microsoft Research Machine Learning and Perception Seminars Affective Technology
The Multiscale Composite Dirichlet Process and its applications
Microsoft Research Cambridge, public talks Probabilistic models for time-series with different underlying dynamics regimes with application to robot imitation learning
The Dicke quantum phase transition with a superfluid gas in an optical cavity
Machine Learning Reading Group @ CUED Cancelled: No RCCCancelled
The Dicke Quantum Phase Transition and Supersolidity
Physics of Medicine (PoM) Seminar Series STORM below the localisation limit
Putting Some Language Back Into Language Modelling
Machine Learning Reading Group @ CUED Herding or a '3rd way to learn'
Parallel dendritic processing and hippocampal spatial representations
How the brain makes decisionsTea and Cakes available in 2nd Floor Seminar Room from 4pm
Microsoft Research Cambridge, public talks Engineering Genetic Circuits
Machine Learning Reading Group @ CUED Advanced Scientific Programming in Python
Bayesian Psychometry
Machine Learning Reading Group @ CUED Unsupervised Grammar Induction
Computational Neuroscience Journal Club
Continuous Gesture Recognition and Visualization
Searching for Knowledge Instead of Web Pages
Microsoft Research Cambridge, public talks Food Webs, and how they got that way
Optimality among optimals: decision making from neurobiological ‘noisy’ signals within the cortico-basal-ganglia system
Bayesian Inference with Kernels
Microsoft Research Cambridge, public talks SSH: A Case Study of Cryptography in Theory and Practice
Microsoft Research Cambridge, public talks Testing and fault localization in constraint programs
Microsoft Research Cambridge, public talks Towards Systematic Design of Enterprise Networks
Computational and Biological Learning Seminar Series Continuous control of brain computer interfaces based on a covert spatial attention paradigm
Title to be confirmed
Microsoft Research Cambridge, public talks Noise and the two-thirds power law
Microsoft Research Cambridge, public talks Golden-i, a head-mounted computer
Translational biomedical informatics research in a clinical neurosurgery environment
Microsoft Research Cambridge, general interest public talks Diderot: A Parallel Domain-Specific Language for Image Analysis
Ticker: Case Study
Research adventures in JapanLab access may be impeded due to bank holiday
On the Equivalence of Graph Cuts and Max-product Belief Propagation
Statistical Language Modelling
Microsoft Research Cambridge, public talks Frugality in set-system auctionsEdith Elkind, Nanyang Technological University, Singapore
Title to be confirmed
Microsoft Research Cambridge, public talks The Little Engine(s) that could: Scaling Online Social Networks
Topic Models -- and how to break them
Microsoft Research Cambridge, public talks Search methods based on Monte-Carlo simulation
Microsoft Research Cambridge, public talks Information Asymmetries in Pay-Per-Bid Auctions: How Swoopo Makes Bank
Wednesday Seminars - Department of Computer Science and Technology Some Uses of Hashing in Networking Problems
Marginal Fermi liquid behaviour and competing orders with topological characteristics in bilayer graphene.
Culture wars, voting and polarization: divisions and unities in modern American politicsgeneral audience talk (non-technical) -- NOTE change of room to LR4!
Creating structured and flexible models: some open problems
Efficient Bayesian analysis of multiple changepoint models
Approximate Inference for the Loss-Calibrated Bayesian
Microsoft Research Cambridge, public talks Concurrency and Communication: Lessons from the SHIM Project
Learning Common Grammar from Multilingual Corpus / Online Multiscale Dynamic Topic Models
Microsoft Research Cambridge, public talks Post-Silicon Validation: New Frontiers for Formal Verification Research
Scalable Parallel Computing with CUDA
Introduction to Geometric Algebra
Microsoft Research Cambridge, public talks GPU programming: bugs, pitfalls and the importance of correctness in biomedical and scientific applications
Dasher on a Space-filling curve
Microsoft Research Cambridge, public talks Using transformed domains to sparsify Gaussian Processes
Microsoft Research Cambridge, public talks Using transformed domains to sparsify Gaussian Processes
Using transformed domains to sparsify Gaussian Processes
Microsoft Research Cambridge, public talks How can we use digital pens in a collaborative environment?
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Microsoft Research Cambridge, public talks Local Action Traces and Abstract Concurrent Separation Logic
Microsoft Research Cambridge, public talks Frameworks for segmentation, classification, and nonstationary image processing with applications to disease assessment
Microsoft Research Cambridge, public talks International Workshop on Tractability; 5-6 July 2010
Bayesian head pose estimation
Microsoft Research Cambridge, public talks Symbolic Techniques in Propositional Satisfiability Solving
Microsoft Research Summer School Computer science (Cancelled)Cancelled
Microsoft Research Summer School Cloud computing for research
Microsoft Research Summer School To infinity and beyond with nonparametric Bayesian methods
Microsoft Research Summer School Acquiring syntactic and semantic transformations in question answering
Microsoft Research Summer School Tracking and localisation for speech and robotics
Microsoft Research Summer School Communications, Travel and Social Networks since 1840: A Study Using Agent-based Models
Microsoft Research Summer School Static contract checking for Haskell
Microsoft Research Summer School From program analysis research to industrial programming language development
Microsoft Research Summer School From driving to trafficking: the developing view of the user in computer systems design
Microsoft Research Summer School Microsoft Research Summer School Posters session 3
Microsoft Research Summer School Simulation and data analysis with Windows Azure
Microsoft Research Summer School Fun with F#: Solving complex problems with simple code
Microsoft Research Summer School From data to knowledge
Microsoft Research Summer School Infer.NET and probabilistic programming
Microsoft Research Summer School Ten things you don’t know about Microsoft
Microsoft Research Summer School Molecular programming
Microsoft Research Summer School Simulating global carbon-climate feedback
Microsoft Research Summer School Rough guide to being an entrepreneur
Microsoft Research Summer School Microsoft Research Summer School Posters session 2
Microsoft Research Summer School How to give a great research talk
Microsoft Research Summer School Presentation skills
Microsoft Research Summer School Microsoft Research Summer School Posters session 1
Microsoft Research Summer School How to write a great research paper
Intelligently Aiding Human-Guided Correction of Speech Recognition
Microsoft Research Cambridge, general interest public talks Information, Networks and Markets
Differential Privacy and Probabilistic Inference
Microsoft Research Cambridge, public talks Energy as Syntax - an attempt at a thermodynamical framework for combinatorial molecular networks
Natural Conjugate Gradient Learning for Fixed-Form Variational Bayes
Sparse Factor Analysis Applied to Three Biological Problems
The AEGIS projectNote unusual time
Using topic models to help cure cancer
Message Passing In Centralized Databaseshort talk
Machine Learning Reading Group @ CUED Structured Learning and Structural SVMs
Microsoft Research Cambridge, public talks Geometry of Synthesis: Semantics-directed hardware compilation
Structured Prediction Cascades
Parametric Bandits, Query Learning, and the Haystack Dimension
Paths to Discovery in Radio Astronomy – Prediction and Serendipity
Machine Learning Reading Group @ CUED Conditional Random Fields : Theory and Application
LIQUID CRYSTALS: WHAT THEY ARE AND WHY YOU SHOULD KNOW ABOUT THEM
Microsoft Research Cambridge, public talks Diffuse Programming
Microsoft Research Cambridge, public talks Images as Sets of Locally Weighted Features
Microsoft Research Cambridge, public talks Hermes: Clustering Users in Large-Scale E-mail Services
Robust Associative memory
Microsoft Research Cambridge, public talks Practical performance models for complex, popular applications
Harnessing the Interactions of Ultrasound Waves and Acoustic Cavitation With Biological Tissue for Non-Invasive Therapy and Drug Delivery
Microsoft Research Cambridge, public talks Before pixels
Machine Learning Reading Group @ CUED Redirected to Rob Nowak, LR12Redirected
Microsoft Research Cambridge, public talks A proof rule for multi-threaded programs
The Dynamics of Observing and Controlling Epilepsy and Parkinson's Disease
Microsoft Research Cambridge, public talks Prof. Robert Nowak, University of Wisconsin; MSR Lectures
Learning predictive models for visual motion extrapolation
Conditional Counting: Approximate Multinomial Probit Regression
From tuning curves to behaviour
Gravitational-Wave Detectors Below 10Hz: LISA, Pulsar Timing Arrays, CMB Polarization, Atom Interferometers, and the Big Bang ObserverThis lecture is a colloquium style lecture in physics
Machine Learning Reading Group @ CUED Topics in Statistical Machine Translation
Online Expectation-Maximisation
Gravitational-Wave Detectors above 10Hz: Weber Bars, LIGO, GEO, VIRGO, TAMA, LCGT, and Einstein TelescopeThis lecture is a colloquium style lecture in physics
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Derek Dreyer, MPI-SWS; Microsoft Research Lectures
Gravitational Waves: A New Window onto the UniverseThis lecture is for a general audience.
Ticker: A text-entry interface with audio feedback for single-switch users
Microsoft Research Cambridge, public talks On Bayes-Nash implementation of combinatorial auctions: structure and efficiency
Critical parameters from generalised multifractal analysis at the Anderson transition
Machine Learning Reading Group @ CUED Title to be confirmed
Music, Architecture and Acoustics in Renaissance Venice: Recreating Lost Soundscapes
Music, Architecture and Acoustics in Renaissance Venice: Recreating Lost Soundscapes
Physics of Medicine (PoM) Seminar Series Modelling protrusion phenotypes and the force velocity relation to motile cellsThis talk is jointly organised with TCM
Microsoft Research Cambridge, public talks Abstract Interpretation for Liveness using Metric Spaces
Microsoft Research PhD Scholars Abstract Interpretation for Liveness using Metric Spaces
Coherent Inference on Optimal Play in Games
Machine Learning Reading Group @ CUED Information RetrievalRoom changed
Mapping affective decisions in depression using reinforcement learning tools
Recent Advances in Particle Based Simulation Methods
Computational Neuroscience Journal Club
Report from CHI 2010
Talk CancelledCanceled
Microsoft Research Cambridge, public talks Visual Computing for Next-Generation Display and Imaging
Machine Learning Reading Group @ CUED Numerical Linear AlgebraRoom changed
Microsoft Research Cambridge, public talks Static Verification of Concurrent Programs using Reduction and Abstraction
Dirac's Dream - the Continuing Quest for the Magnetic Monopole
Microsoft Research Cambridge, public talks The State of Secondary Level Computer Science Education in the USA
Microsoft Research Cambridge, public talks Deep Web Data: Analysis, Extraction, and Modelling
Microsoft Research Cambridge, public talks On the stability of flow-aware CSMA
Microsoft Research Cambridge, public talks Incremental Modelling and Verification of the PCI Express Transaction and Data-Link Layers
Machine Learning Reading Group @ CUED Bundle methods and its application in machine learning
Microsoft Research Cambridge, public talks A comparison of some recent task-centric parallel programming models
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Secrets of the Microsoft SQL Server Query Optimizer
Microsoft Research Cambridge, public talks Building Algorithms for FPGAs
Microsoft Research Cambridge, public talks Learning, Planning and Representing Knowledge from Primitive Experience
Microsoft Research Cambridge, public talks Submodularity and Valued Constraint Satisfaction Problems
Computational Neuroscience Journal Club
Using Disorder to Detect Local Order: Noise and Nonequilibrium Effects in Disordered Electron NematicsJoint TCM/QM seminar - note non-standard time.
Microsoft Research Cambridge, general interest public talks Towards physical basis for Ambient Intelligence – a critical driver for the future of printed electronics and optoelectronics – ‘It’s not the materials, it’s the effects talking’
Microsoft Research Cambridge, public talks Opportunistic Spectrum Access with Multiple Users: Learning under Competition
Microsoft Research Cambridge, public talks Sparse Model Recovery via Iterative Algorithms
Speech Dasher: Fast Writing using Speech and Gaze
Microsoft Research Cambridge, public talks Proactive Resilience Revisited: Resisting Intrusions means more than Byzantine Fault Tolerance
Microsoft Research Cambridge, public talks Incremental Modelling and Verification of the PCI Express Transaction and Data-Link Layers
Language Modelling with PPM
Microsoft Research Cambridge, general interest public talks Networks in Crisishttp://www.gold.ac.uk/design/
Machine Learning Reading Group @ CUED Sparsification for Gaussian Processes for Regression
Microsoft Research Cambridge, public talks Abandoning Prenex Clausal Normal Form in QBF Solving
Slice sampling with latent Gaussian models
Microsoft Research Cambridge, public talks Michael Weber, University of Twente; Microsoft Research Lectures
Bayesian feature tracking and head pose estimation
Microsoft Research Cambridge, public talks Datalog+/- : A Framework for Tractable Query Answering over Ontologies
Machine Learning Reading Group @ CUED Title to be confirmed
Dynamic Network Tomography: Model, Algorithm, Theory, and Application
Making Sense of Data - A Research Agenda
High-Temperature Superconductors: From Broken Symmetries to the Power Grid
Recursive CRFs for Scalable Visionshort talk
Computational and Biological Learning Seminar Series Title to be confirmedshort talk
Subspace Codes for Adversarial Error-Correction in Network Codingshort talk
Computational and Biological Learning Seminar Series Title to be confirmedShort talk
Computational Neuroscience Journal Club
Bayesian Inference in Networks of Queues
Stochastic Outlier Selection
Neurally-inspired Computing
Risk and (Human-induced) Climate Change
Machine Learning Reading Group @ CUED CancelledCancelled
Variational methods continued
Latent Force Models with Gaussian Processes
Risk and Natural Catastrophes
Influence of Thermal Order Parameter Fluctuations on the Spectral Function of 2D Superconductors
Machine Learning Reading Group @ CUED CancelledCanceled
Computational Neuroscience Journal Club
Dasher
Risk, Security and Terrorism
Machine Learning Reading Group @ CUED Title to be confirmed
An Introduction to Variational Methods for Approximate Inference in Graphical Models
Title to be confirmed
Microsoft Research Cambridge, public talks Stationary Subspace Analysis
Microsoft Research PhD Scholars Literacy and ICT: Social Constructions in the Lives of Low-literate Youth in Ethiopia & Malawi
Risk and Humanities
Machine Learning Reading Group @ CUED Semi supervised learning
Computational Neuroscience Journal Club
Automatic Selection of Recognition Errors by Respeaking the Intended Text
Risk and Government: The architectonics of blame-avoidance
Microsoft Research Cambridge, public talks You are not a gadget
Machine Learning Reading Group @ CUED Variational inference in graphical models: The view from the marginal polytope
'Climate Change: the science behind the headlines'
Mind Reading by Machine Learning: Optimal Experimental DesignShort talk
NIPS 2009 highlights
Risk and the Brain: The neural basis of decision making under uncertainty
Microsoft Research Cambridge, public talks L_p-Spherically Symmetric and L_p-nested Distributions for Patches of Natural Images
Machine Learning Reading Group @ CUED The Fractional Belief Propagation menace
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Efficient Bayesian Model Comparison with Differential Equations: a Population MCMC Approach via the Thermodynamic Integral
Microsoft Research PhD Scholars Efficient Bayesian Model Comparison with Differential Equations: a Population MCMC Approach via the Thermodynamic Integral
HEP phenomenology joint Cavendish-DAMTP seminar Accelerated Bayesian inference in cosmology
Machine Learning Reading Group @ CUED (Canceled) A Causal Calculus for Statistical ResearchCanceled
Microsoft Research Cambridge, public talks Riemannian Manifold Hamiltonian Monte Carlo
Microsoft Research Cambridge, public talks Inferring Signaling Pathway Topologies from Multiple Perturbation Measurements of Specific Biochemical Species : A model-based approach
New approaches to Bayesian asymptotics
Synthetic structures and machines from DNA
Machine Learning Course (4F13)4F13 course - repeats Wed, Thurs at 10am during Lent
CANCELLED: Learning Components for Human SensingCANCELLED
Visuospatial ReasoningShort Talk
Risk: Trying to quantify our uncertainty
Machine Learning Reading Group @ CUED RCC Planning Meeting
Machine Learning Course (4F13)4F13 course - repeats Wed, Thurs at 10am during Lent
Computational Neuroscience Journal Club
Title to be confirmed
Quantum Optics Experiments with Multiple Qubits and Multiple Photons in Superconducting Electronic Circuits
Optimal Tag Sets for Automatic Image Annotationshort talk
Machine Learning Reading Group @ CUED Unbounded-depth hierarchical Pitman-Yor processes
Microsoft Research Cambridge, general interest public talks Predicting biological functions at different spatial scales: From molecules to ecosystems
Joint imputation and estimation of haplotype transition probabilities
Computational Neuroscience Journal Club
NIPS poster
Microsoft Research PhD Scholars Experimental and computational approaches to implicit learning of musical structure
Face Recognition: Who's That Blonde?
Journal Club: Visualizing Data using t-SNE
Machine Learning Reading Group @ CUED Learning rates in Bayesian nonparametrics
An introduction to sequential Monte Carlo methods
Probabilistic feature tracking with non-probabilistic techniques
Microsoft Research Cambridge, general interest public talks 8TH INTERNATIONAL CONFERENCE ON MOBILE AND UBIQUITOUS MULTIMEDIA (MUM 2009)
Indian Buffet Processes with Power-law Behaviour
The Infinite Gaussian Mixture Model
Gaussian Processes for Active Data Selection, Faults, Changepoints and Sensor Selection
Computational Neuroscience Journal Club
研究の紹介
Machine Learning Reading Group @ CUED Bayesian Agglomerative Clustering with Coalescents
Compressed Sensing - Introduction and Future Aspects
KL control theory and decision making under uncertainty
Microsoft Research Cambridge, public talks Proving the Correctness of Abstract Concurrency Control and Recovery
Oscillations, Phase-of-firing Coding and STDP: An Efficient Learning Scheme (Journal club)
Microsoft Research Cambridge, public talks Nesting Transactions: Why and What Do We Need?
Machine Learning Reading Group @ CUED Machine Learning RCC - Bayesian Agglomerative Clustering with Coalescents, Teh, Daumé and Roy, NIPS 2007
Machine Learning Reading Group @ CUED Filtering of Noisy Time-Series Data
Computational Neuroscience Journal Club
Adrian Seminars in Neuroscience “Modeling synaptic plasticity across multiple time scales”.
Optimizing Dasher for the iPhone
Superconductivity in underdoped cuprates from attraction between spin vortices
Association mapping and prediction of complex structured phenotypes
Microsoft Research PhD Scholars Value Ordering Heuristics for Quantified Constraint Satisfaction
Bayesian integration in sensorimotor learning
Machine Learning Reading Group @ CUED Speed Reviewing
Bayesian Nonparametric Mixture Models
Information theoretic model selection in clustering
A facial gesture switch using hidden Markov models
Distilling Free-Form Natural Laws from Experimental Data
Machine Learning Reading Group @ CUED High-dimensional variable selection via sure independence screening
Microsoft Research Cambridge, general interest public talks Statistical network analysis in computational genomics
Machine Learning Book Club
Computational Neuroscience Journal Club
Inclusive user modelling
Journal club: Measurement integration under inconsistency for robust tracking
Machine Learning Reading Group @ CUED Ensemble Methods in Machine Learning
When can we quantify uncertainty?
The deep structure of the proton ...... and why it matters!
Machine Learning Book Club
Learning Logical Relations
Motor Skills Learning for Robotics
Machine Learning Reading Group @ CUED Structured prediction using energy-based models
Computational Neuroscience Journal Club
Recognition and Correction of Voice Web Search Queries
Kinetics and Bose-Einstein condensation of parametrically driven magnons at RT.
The Mondrian Process
Machine Learning Reading Group @ CUED Technical Writing II
Microsoft Research Cambridge, general interest public talks Generalized, Efficient Array Decision procedures
Microsoft Research Cambridge, public talks Data redundancy and maintenance in peer-to-peer file backup systems
Reduced cortical neuron models: Experiment and theory
Coconut: Optimizing computations for machine learning
Of Uncertain Value -- Bayesian Quadratic Reinforcement Learning
COGAIN'09 proceedings
Machine Learning Book Club
Computational Neuroscience Journal Club
Microsoft Research Cambridge, public talks Use phase signals to promote lifetime extension for desktop PCs
Capacity of Spiking Neural Networks
Speed dependent automatic zooming for browsing large documents
CANCELLEDCancelled
Machine Learning Book Club
Thermal expansion of beta-eucryptite
Single Image Haze Removal using Dark Channel Prior
Simplifying the theory of the Invar effect in iron-nickel alloys
Bursty and Hierarchical Structure in Streams.
Convex Variational Bayesian Inference for Large Scale Generalized Linear Models
Machine Learning Book Club
Text entry performance of state of the art unconstrained handwriting recognition: a longitudinal user study
Correlation, Causation, Model Comparison and Interventions
Machine Learning Book Club
Machine Learning Book Club
Combining Collaborative Filtering with Meta Data for Scalable RecommendationsNote unusual time
Machine Learning Book Club
Machine Learning Book Club
Computable Probability Theory
Physics Dimensions in Sage
Machine Learning Book Club
Machine Learning Book Club
Microsoft Research Cambridge, general interest public talks Machine Learning Reveals the Genetic Code Controlling Splicing
Microsoft Research Cambridge, public talks Towards focusing research and innovations on local needs: If wireless technologies are to connect the wireless continent
Microsoft Research Cambridge, general interest public talks From Verification to Synthesis
Dashing this way and that
Machine Learning Book Club
Microsoft Research Cambridge, public talks Learning Deep Architectures
Microsoft Research Cambridge, public talks Cops, Crops and Mobile Phones: Machine Learning in Africa
Mapping facial gestures to control cursors and switches
Microsoft Research Summer School Sustainable energy without the hot air
Microsoft Research Summer School Giving a good presentation
Microsoft Research Summer School Internships uncovered...New time
Microsoft Research Summer School Introduction to intellectual property
Machine Learning Reading Group @ CUED Hessian-based Markov-Chain Monte Carlo Algorithms
Microsoft Research Summer School Enabling intelligent management of the environment
Microsoft Research Summer School Forza, Halo, Xbox Live: The magic of research in products
Microsoft Research Summer School Systems and networking research at MSR Cambridge
Microsoft Research Summer School New hardware enabling new user experiences
Microsoft Research Summer School How to manage your supervisor
Microsoft Research Summer School Scientific computing on .NETNew time and day
Microsoft Research Summer School WorldWide Telescope - A computational science innovationNew time
Microsoft Research Summer School Tools and services for data intensive research
Microsoft Research Summer School The executable pathway to biological networks
Microsoft Research Summer School Principles and applications of refinement types
Machine Learning Book Club
Microsoft Research Summer School Hitchhikers guide to machine learning
Microsoft Research Summer School Rough guide to being an entrepreneur
Microsoft Research Summer School EU opportunities for young researchers
Microsoft Research Summer School Challenges in refactoringNew time
Microsoft Research Summer School Interactive mattingNew time
Microsoft Research Summer School Generative face models for image understandingNew time
Microsoft Research Summer School Scalable display architecturesNew time
Microsoft Research Summer School Hybrids of generative and discriminative models
Microsoft Research Cambridge, public talks Towards a Network Measurement Science
Microsoft Research Summer School New kinds of software for new kinds of science
Microsoft Research Summer School How to give a great research talk
Microsoft Research Summer School How to write a great research paper
Electronic Correlations and Magnetic Frustration in the Iron Pnictides
Machine Learning Book Club
Microsoft Research Cambridge, general interest public talks Refactoring with Generics
Machine Learning Reading Group @ CUED Message PassingNote unusual time
What is the momentum of a photon propagating in a medium?
Machine Learning Book Club
Computational Neuroscience Journal Club
CoSBi Computational and Systems Biology Series Analyzing the effect of noise on various models of Circadian Clock and Cell Cycle coupling
A quick way to learn a mixture of exponentially many linear modelsNote unusual time
Short ICML Practice Talk
Heterogeneities in granular media
Machine Learning Reading Group @ CUED Slice Sampling
Machine Learning Book Club
CoSBi Computational and Systems Biology Series Topological keystone species: network analysis in modern systems ecology
Microsoft Research Cambridge, general interest public talks Workshop on Networks, Auctions and Pricing - 1 Day
Is the homunculus `aware' of sensory adaptation?
Microsoft Research Cambridge, general interest public talks Towards disposable healthcare devices: a paradigm shift
CoSBi Computational and Systems Biology Series Complexity and Robustness in Colonies of Agents: A Formal Languages and a Game Theory Approach
Microsoft Research Cambridge, general interest public talks Domain Knowledge Driven Program Analysis
Semantic Image Segmentation and Web-Supervised Visual Learning
Inference in Models with Latent HierarchiesNote new time
Can the thermal conductivity of semiconductors be controlled by impurities?
Microsoft Research Cambridge, general interest public talks Robot Scientists and the automated scientific laboratory
Machine Learning Book Club
From microscopic to macroscopic descriptions of cell migration on growing domains
Computational Neuroscience Journal Club
Informed matter: The confluence of information processes and material science
Visual search and mining of large scale image collections
Progress on development of a microfluidic robot scientist
Title to be confirmedNote time
Machine Learning Book Club
Using gradient descent for optimization and learning
Local density of states of electron-crystal phases in graphene in the quantum Hall regime
Machine Learning Reading Group @ CUED Technical Writing
Machine Learning Book Club
CoSBi Computational and Systems Biology Series Study disease-causing genes based on protein-protein interaction networks
Computational Neuroscience Journal Club
CoSBi Computational and Systems Biology Series Stochastic simulation algorithms and analysis of biological systems
Optimal Bayesian Reinforcement Learning on Trees
Understanding liquids and glass transition on the basis of elastic interactionsNote changed time
Glasses, Jamming and Spin Glasses
Machine Learning Reading Group @ CUED Divergence measures and message passing
Electromagnetic surfaces from butterflies to battleships
Machine Learning Book Club
CoSBi Computational and Systems Biology Series Model Abstraction Methodology for Temporal Behavior Analysis of Multiscale Biological Systems
CoSBi Computational and Systems Biology Series Chemotaxis. Do we understand it all?
Title to be confirmed
Inferring building properties from temperature datavenue to be confirmed
Machine Learning Reading Group @ CUED The IBM approach to speech separation
Machine Learning Book Club
Likelihood-based inference for complex data structures
Computational Neuroscience Journal Club
Physics and Complexity : Examples
Machine Learning Reading Group @ CUED Parsing Images the UCLA Way
Physics and Complexity : Methodologies
Useful Computation with Coincidence Detection
Machine Learning Book Club
Physics and Complexity : An Overview
Machine Learning Reading Group @ CUED Hilbert space embedding of probability distributions
Microsoft Research Cambridge, general interest public talks TBC
Bayesian periodicity detection
Literature review presentations - Tidal power, and Fuel cellsNote unusual time
CoSBi Computational and Systems Biology Series Dynamics of cell cycle transitions
Computational Neuroscience Journal Club
CoSBi Computational and Systems Biology Series Exploiting non-Markovian Bio-Processes within BlenX
Feature tracking with full posteriorsNote new date and time.
Deducing Principles in Natural Perception
Machine Learning Book Club
CoSBi Computational and Systems Biology Series A parallel perspective of the dynamics of biological reactive systems
Machine Learning Book Club
CoSBi Computational and Systems Biology Series KInfer and BetaWB: tools for supporting the modeling workflow of Biological Systems
Computational and Biological Learning Seminar Series Algorithms for Understanding Motor Cortical Processing and Neural Prosthetic Systems
Coding with envelopes, receptive fields and plasticity
Learning from Measurements in Exponential Families
CoSBi Computational and Systems Biology Series A Framework study of the NF-kB signalling pathway
Machine Learning Book Reading Club
Computational Neuroscience Journal Club
CoSBi Computational and Systems Biology Series On the deduction of chemical reaction rate constants from measurements of time series of concentration
Machine Learning Book Reading Club
Computational Neuroscience Journal Club
Machine Learning Reading Group @ CUED Bregman Divergences and Machine Learning
Geothermal power in Australia
Cloud Ships for global warming reduction
The EM algorithm and applications
Title to be confirmed
Painless Parse Errors
CoSBi Computational and Systems Biology Series Evolutionary computation: optimization and inference
Machine Learning Book Club
Computational Neuroscience Journal Club
Shrinkage regression for multivariate inference with missing data, with an application to portfolio balancing
CoSBi Computational and Systems Biology Series Visual systems biology: design, understand, organize
The Boundaries of Darwinism
Quasi-linear Sensor Management
Information Visualization for Knowledge Discovery (A Few Places Now Available!)A few people have dropped out - we have about 17 seats available now!!
Machine Learning Reading Group @ CUED The Convex Concave Procedure
The ATLAS Experiment Entering Operation: Overview, Motivation and Status of the Project
Machine Learning Book Club
Is Human Evolution Over?
An Introduction to TranscriptomicsMachine Learning Tutorial Lecture
Machine Learning Reading Group @ CUED Hybrids of Generative and Discriminative Models (Cont)
Ferguson's 1973 paper on the Dirichlet process
Dasher in Mandarin Chinese with Phonetic Pin Yinnote unusual time and venue
Machine Learning Book Reading Club
Computational Neuroscience Journal Club
Optimization and Incentives Seminar A Survey of Results for Deletion Channels and Related Synchronization ChannelsJoint With Probability Seminar Series.
Computational and Biological Learning Seminar Series Mind reading by machine learning: an ideal observer based analysis of cognitive scientific experiments
Bloom Filters, Related Data Structures, and their Applications
Evolution and Conservation of Biodiversity
Generalization in Learning
Machine Learning Reading Group @ CUED Large Margin Training of Hidden Markov Models
Superfluidity and other quantum fluid effects of microcavity polaritonsJoint TCM/AMOP/NP seminar
Emerging Concepts in Particle and Photon Beams
Machine Learning Book Club
Stochastic control as an inference problem
Darwin and Human Society
Machine Learning Reading Group @ CUED Hybrid of Generative and Discriminative Models
Learning based on Data Compression
Hydrodynamic simulation of multicellular embryo invagination and its biological predictions
Computational Neuroscience Journal Club
Adrian Seminars in Neuroscience Measuring and modelling the development of ordered nerve connections
Darwin in the Literary World
Machine Learning Reading Group @ CUED Divergence measures and message passing - CANCELLEDCanceled
More NIPS highlights
Machine Learning Book Reading Club
Predicting and understanding the stability of G-Quadruplexes
Extending the Affinity Propagation Model
Machine Learning Reading Group @ CUED Distributed Computing for Machine Learning
The 1995 Benjamini and Hochberg paper on false discovery rates
NIPS Highlights
Parakeet: A Continuous Speech Recognition System for Mobile Touch-Screen Devices
Machine Learning Book Reading Club
Connecting Afghanistan: Wireless internet with plywood and chicken wire
Computational Neuroscience Journal Club
Darwin's Intellectual Development
Machine Learning Reading Group @ CUED A Hierarchical Bayesian Language Model based on Pitman-Yor Processes
Mesoscale imaging in disordered systems: soft matter physics in hard matter
CoSBi Computational and Systems Biology Series On Automatic Quantitative Verification of Biological SystemsTime changed
The Block Diagonal Infinite Hidden Markov Model
CoSBi Computational and Systems Biology Series BlenX, a language based approach for modelling biological systems
Machine Learning Book Reading Club
Probabilistic Graph Models for Debugging Software
The Making of the Fittest
Machine Learning Reading Group @ CUED Probabalistic Inference for solving (PO)MDPs
Machine Learning Book Reading Club
Computational Neuroscience Journal Club
HMMs for Protein Sequencing from Mass Spectrometry Data
Layered Kondo lattice model for novel quantum critical compound beta-YbAlB4
SciComp@Cam: Scientific Computing in Cambridge Provisional: Christmas QuizCanceled
Machine Learning Reading Group @ CUED NIPS Offline Conference
Mobile Content-Sharing Applications
Optimizing Similarity Functions in Various Pattern Recognition ProblemsNote unusual time
Visual Search: Applications and Computational Modelling
Eye-Tracking in Virtual Reality
Estimating the Pen Trajectories of Handwritten Static Scripts using Hidden Markov Models
Machine Learning Reading Group @ CUED An Introduction to Relational Learning
Power to Choose: How the energy choices people make will change their lives.
Machine Learning Book Reading Club
Journal Club: Mixed Membership Stochastic Blockmodels
Quantum Criticality, the Alpha/Delta Puzzle, and Dual VacuaJoint TCM/QM Seminar
Deep Networks for VisionMachine Learning Tutorial Lecture
Machine Learning Reading Group @ CUED Bayesian Reinforcement Learning in Continuous POMDPs
Patterns of co-existing order parameters and universal escapeway to the magnetic quantum critical point
The 1995 wavelet paper of Donoho, Johnstone, Kerkyacharian and Picard
Inaugural Lecture: "Blink, and you miss it"
Bayesian Inductive Programming
Microsoft Research Computational Science Seminars From Medical Images to Virtual Physiological Humans
Machine Learning Book Reading Club
Computational Neuroscience Journal Club
Freezing of cluster solids and the Gibbs phase rule
Machine Learning Reading Group @ CUED Cluster Analysis of Heterogeneous Rank Data
Machine Learning Book Reading Club
CoSBi Computational and Systems Biology Series Exactness and Approximation of the Stochastic Simulation Algorithm
CoSBi Computational and Systems Biology Series Colonies of Synchronizing Agents: Computability and Robustness
Value Propagation: A Graphical Model for Bayesian Reinforcement Learning
SciComp@Cam: Scientific Computing in Cambridge Title to be confirmed
Machine Learning Reading Group @ CUED Gaussian Process Latent Variable Models
Ronald Fisher's 1934 likelihood and inference paper
Lord Rayleigh's Legacy
Thermochemistry and Nuclear power - Clean responsive electricity
Consensus finding, exponential models and infinite rankings
Machine Learning Book Reading Club
Computational Neuroscience Journal Club
Spiking Boltzmann Machines
Machine Learning Reading Group @ CUED Point Process Intensity Estimation with GP's
Machine Learning Book Reading Club
A Precision-Click Method for Multiple-Choice Problems
Machine Learning Reading Group @ CUED Knows What It Knows: A Framework For Self-Aware Learning
David Cox's 1972 proportional hazards paper
Pulsars: A Marvellous Serendipity
Low-cost large-scale renewable energy
Machine Learning Book Reading Club
Computational Neuroscience Journal Club
Foundations of Nonparametric Bayesian Methods (Part III)
The discovery of structural form
Machine Learning Reading Group @ CUED Approximating the Kullback-Leibler Divergence Between GMMs
Wednesday Seminars - Department of Computer Science and Technology Forensic Genomics:Kin Privacy, Driftnets and Other Open Questions
Microsoft Research Computational Science Seminars What makes cellular decisions irreversible?
Efficient Sequential Monte Carlo Inference for Kingman's CoalescentNote unusual time
Machine Learning Book Reading Club
Context in human robot interaction
CoSBi Computational and Systems Biology Series Computational analysis of the connection between cell cycle and circadian rhythm
SciComp@Cam: Scientific Computing in Cambridge Title to be confirmed
Charles Stein's 1956 inadmissibility paper
Foundations of Nonparametric Bayesian Methods (Part II)
Machine Learning Reading Group @ CUED To Naive Bayes or to Logistically Regress: That is the Question
Virtual Cosmology with Superfluid 3He
Computational Neuroscience Journal Club
Foundations of Nonparametric Bayesian Methods (Part I)
Random searching: shining a light on structure space
Machine Learning Reading Group @ CUED CANCELLEDCANCELLED
Shared Segmentation of Natural Scenes using Dependent Pitman-Yor Processes
Inferring the hazard rate in change point modelsNote unusual day and time
Machine Learning Book Reading Club
Machine Learning Reading Group @ CUED Condition Monitoring
Crucible/Microsoft HCI Reading Group How do we program the home? Gender, attention investment, and the psychology of programming at home.
Signal Processing and Communications Lab Seminars From calcium imaging to spikes, using sequential Monte Carlo methods
Computational Neuroscience Journal Club
Physics at the kitchenNote time and location
Spoken Dialogue Management
A Bayesian approach to language learning
Machine Learning Book Reading Club
Learning Bigrams from Unigrams
Machine Learning Book Reading Club
SciComp@Cam: Scientific Computing in Cambridge Development tools for mobile devices
Machine Learning Reading Group @ CUED Levy Processes
Nonparametric Bayesian Natural Language Model Domain Adaptation: A Hierarchical, Hierarchical Pitman-Yor Process Language Model
Clustering by linear programming, convex optimization and belief propagationNote unusual time
Computational Neuroscience Journal Club
Bayesian approaches to autonomous Bayesian real-time learning
Machine Learning Book Reading Club
Machine Learning Reading Group @ CUED The War on Loops
Non-negative matrix factorization with Gaussian process priors
Matrix Factorization and Relational Learning
Machine Learning Book Reading Club
Assessing the effects of statistical dependencies on neural population coding in the visual pathway
Machine Learning Book Reading Club
Associative Memories(This talk was postponed from 20 August)
Machine Learning Book Reading Club
Machine Learning Book Reading Club
Artificial intelligence in combinatorial game design
Machine Learning Book Reading Club
Crucible/Microsoft HCI Reading Group “Resistance is Futile”: Reading Science Fiction Alongside Ubiquitous Computing
Machine Learning Book Reading Club
From Automated Currency Validation to Protein Fold Recognition: Probabilistic Multi-class Multi-kernel Learning
Machine Learning Book Reading Club
Semantic Texton Forests for Image Categorization and Segmentation.
Machine Learning Book Reading Club
SciComp@Cam: Scientific Computing in Cambridge Provisional: Field Programmable Gate ArraysPOSTPHONED TO LATER IN THE YEAR
Modeling with Bounded Partition Functions
Double Feature: Optimal Precoding for MIMO and Divergence Estimation for Continuous Distributions
Nonparametric Bayesian Learning of Switching Dynamical Systems
Message-passing inference on graphical models
Microsoft Research Summer School Enzymatic computing
Microsoft Research Summer School Take control or how to manage your supervisor
Microsoft Research Summer School Posters session 4
Machine Learning book reading club
Microsoft Research Summer School In search of the holy grail
Microsoft Research Summer School How does the Internet work?
Microsoft Research Summer School Grand challenges in computing
Microsoft Research Summer School Rough guide to being an entrepreneur
Microsoft Research Summer School Posters session 3
Microsoft Research Cambridge, general interest public talks The Geometry of the Space of ShapesHosted by Prof. Andrew Blake (Microsoft Research)
Microsoft Research Summer School Mind-reading machines
Microsoft Research Summer School Posters session 2
Microsoft Research Summer School How to give a great research talk
Microsoft Research Summer School How to write a great research paper
Microsoft Research Summer School Posters session 1
Machine Learning Book Reading Club
Crucible/Microsoft HCI Reading Group Affective computing: problems, reactions and intentions
Dynamics of 1d quantum liquids
Machine Learning Reading Group @ CUED Variational Bayesian Mixtures of Gaussians
Bayesian analysis of complex biological systems
Microsoft Research Computational Science Seminars Modelling and simulation of biological systems with COPASI
SciComp@Cam: Scientific Computing in Cambridge Provisional: Workflow processing
Bayesian Models for Dependency Parsing Using Pitman-Yor Priors
Variational inference for partially observed diffusion processes
Computational and Biological Learning Seminar Series Seeing Patterns in Randomness: Irrational Superstition or Adaptive Behavior?
SU(2) gauge theory, the Berry phase and spintronics
Assessing high-dimensional latent variable models
Long wavelength spin dynamics of ferrromagnetic condensates
Quantum Dynamics in the Thermodynamic Limit
Cutting Cheese
Crucible/Microsoft HCI Reading Group Evaluating user interface systems research
Uniform sampling from various sets
Identification of dynamical subpopulations, optimal experiment design and more
Gaussian Process Density Sampler
Machine Learning Reading Group @ CUED Stochastic integration and Ito's lemma
H-Infinity Clustering
Microsoft Research Computational Science Seminars Structural analysis of cellular networks
Sustainable Energy - without the hot air
Journal Club: The Dynamic Hierarchical Dirichlet Process
Machine Learning Reading Group @ CUED Continuous Time Bayesian Networks
Object-Attribute Models
Breaking the Protein Amino Acid Code (aka the Code of Life)Note unusual time
SciComp@Cam: Scientific Computing in Cambridge Provisional: Productivity Applications
Modeling Behaviour in Economic Games using Game-Theoretic POMDPs
Talking with Robots: A Case Study in Architectures for Cognitive Robotics
Measuring Game Temperature With UCT-Monte Carlo
An Introduction to Statistical Learning TheoryMachine Learning Tutorial Lecture
Noise in the central nervous system
Tutorial on Monte Carlo methods
Crucible/Microsoft HCI Reading Group What Is Good? – A Comparison Between The Quality Criteria Used In Design And Science
Some models for biologyNote unusual time
Microsoft Research Computational Science Seminars A robustness-based approach to systems-oriented drug design
On Sparsity and Overcompleteness in Image Models
Treed Gaussian Processes for Regression and ClassificationNote new date and time.
SciComp@Cam: Scientific Computing in Cambridge Functional Programming
An analytical approach to a model of spin interactions in quartic wells
Bound states of 2D electrons induced by the spin-orbit interaction
Expectation Propagation Demonstration
Beam Sampling for Infinite Hidden Markov Models
Microsoft Research Computational Science Seminars Molecular arms race between host and parasite leads to evolution of robustness against gene loss in signaling networks
SciComp@Cam: Scientific Computing in Cambridge SciComp minitalksMeeting Room 4, CMS
On sparsity and overcompleteness in image modelsPostponed until April!
Learning quantum physics
Cheap and cheerful neural inference
On the Benefits of Confidence Visualization in Speech Recognition
(clashing event: Sustainable Energy and Arithmetic)Computer Lab seminar clashes with normal group meeting
Convergence analysis of the EM algorithm and joint minimization of free energy
Discriminative Methods with Structure
Expectation Propagation on the TrueSkill model
Understanding Humans - Serendipity and Anthropology
Machine Learning Reading Group @ CUED 'All of Nonparametric Statistics'
A Bayesian approach to network modularity: inferring the structure and scale of modular networks
Crucible/Microsoft HCI Reading Group Unpacking a Timesheet: Formalisation and Representation
Phase analysis of quantum oscillations in graphite
Hierarchical Clustering
Cosmological Serendipity
Inductive Logic ProgrammingMachine Learning Tutorial Lecture
Machine Learning Reading Group @ CUED The Information Bottleneck / Dynamic Kernals for speaker verification
How nervous systems are designed to be energy efficient
Microsoft Research Computational Science Seminars Spatial point process modelling and its applications in ecology
Image superresolution
Serendipity as a Force in Physics
SciComp@Cam: Scientific Computing in Cambridge Python Tools for software development
Statistical Machine TranslationMachine Learning Tutorial Lecture
Model selection and model order adaptation for clustering
Expectation Propagation, Experimental Design for the Sparse Linear Model
Biomedical Image Search
Infera - a Bayesian team-ranking program from 1996
Serendipity in Political Life
Information RetrievalMachine Learning Tutorial Lecture
Machine Learning Reading Group @ CUED Probabilistic Matrix Factorization/Deep Belief Nets
Bayesian learning of visual chunks by human observers
The Unanticipated Pleasures of the Writing Life
Machine Learning Reading Group @ CUED Title to be confirmed
Crucible/Microsoft HCI Reading Group Computational Thinking
Title to be confirmed
Stable distribution and data sketching
Principled Hybrids of Generative and Discriminative Models
HIV and the Naked Ape
Machine Learning Reading Group @ CUED Spectral methods
Non-Rigid Photometric Stereo with Colored Lights
Reinforcement LearningMachine Learning Tutorial Lecture (Note unusual day)
Sparse Feature Learning for Deep Belief Networks
The Stratigraphy of Serendipity
Machine Learning Reading Group @ CUED Active Learning
Title to be confirmed
Modeling Science: Topic models of Scientific Journals and Other Large Document Collections
Sparse Gaussian Process in Disease Mapping
Semantic Hashing, Deep Autoencoders and Universal Approximators
Serendipity's Guide to the Galaxy
Lev Landau - Life and Physics - 100 years from his birth
A theoretical and methodological discussion of nested sampling
Graphical ModelsMachine Learning Tutorial Lecture
Machine Learning Reading Group @ CUED Bayesian Adaptive Inference and Adaptive Training
NIPS presentations
SciComp@Cam: Scientific Computing in Cambridge Scientific Computing in Cambridge meeting
A Numerical Renormalization Group for Continuum One Dimensional Systems
Composing: Linear and Non-Linear ThinkingNote unusual time
Crucible/Microsoft HCI Reading Group Getting to Grips with Technology
The development of a motor network in Drosophila, the role of precocious neural activity in the emergence of coordination
From Single Neuron Activity to Visual Cognition: A Bridge Too Far?
Gene Regulatory Network Inference: A Kernel-Based Learning Approach
Reinforcement Learning in continuous state-spaces
Error Correcting CodesMachine Learning Tutorial Lecture
Machine Learning Reading Group @ CUED Hierarchical Dirichlet Processes
Quarks and their quirks
Clinical data based optimal STI strategies for HIV: a reinforcement learning approach
Life beyond the Physics department
SciComp@Cam: Scientific Computing in Cambridge Scientific Computing in Cambridge meeting
Machine Learning Applications / Challenges in Natural Language ParsingMachine Learning Tutorial Lecture
Machine Learning Reading Group @ CUED Bayesian Reinforcement Learning
Millennium Mathematics Project Chance, Probability and Rankings: the Truth About League TablesThis lecture is fully booked. If you'd like to receive early notice of future lectures, please visit http://mmp.maths.org/events/eventlist.php to join our e-mail list. This is a low-volume e-mail list; usually only 1-2 e-mails are sent per term.
Phenomena in cold exciton gasesJoint TCM/OE seminar
Branch and Bound reconstruction of Balanced Minimum Evolution optimal trees
Variational methods
Machine Learning Reading Group @ CUED Transductive and Semi-Supervised Learning
The Discovery and Early Development of X-Ray Crystallography
An overview of covariance operators in Hilbert space, and their applications
Optimal Control and Reinforcement Learning with Gaussian Process Models
Loopy Belief Propagation
Prequential StatisticsMachine Learning Tutorial Lecture
Machine Learning Reading Group @ CUED Variational inference and exponential families
The last thing that we should talk about
Basics of Belief Propagation
Spectral ClusteringMachine Learning Tutorial Lecture
Machine Learning Reading Group @ CUED Sparse Bayesian Linear Models
Cosmology for Physicists - Why You Should Take Inflation Seriously
Bliss-Dasher -- Efficient semantic writing with any muscle
SciComp@Cam: Scientific Computing in Cambridge Scientific Computing in Cambridge meeting
Group Theory and Machine LearningMachine Learning Tutorial Lecture
Microsoft Research Computational Science Seminars Statistical mechanics of large optimisation problems
Hidden Common Cause Relations in Relational Learning
Fast Visual Tracking By Temporal Consensus
Machine Learning Reading Group @ CUED Autonomous Agents under Operational Closure
Bose Einstein Condensation of Polaritons
Improving the Power of eQTL Studies by accounting for non-genetic Factors
Sensible Priors for Sparse Bayesian Learning
Crucible/Microsoft HCI Reading Group Designing for Usability: Key Principles and What Designers Think
Optimal Spreading Sequences for Chaos-Based Communication Systems; Using CSK as a Case Study
Machine Learning and Inference (One day meeting) Developing a general-purpose message-passing libraryRegistration is required for this one-day meeting
Machine Learning and Inference (One day meeting) Short talks about statistical machine learning IIII
Machine Learning and Inference (One day meeting) Discussion + tea
Machine Learning and Inference (One day meeting) Short talks about statistical machine learning III
Machine Learning and Inference (One day meeting) Inference in Gaussian Process models
Machine Learning and Inference (One day meeting) Short talks about statistical machine learning II
Machine Learning and Inference (One day meeting) Short talks about statistical machine learning
Machine Learning and Inference (One day meeting) Sequencing hundreds of humans - how to collect the data efficiently and make sense of itRegistration is required for this one-day meeting
Machine Learning and Inference (One day meeting) Coffee + mingle
Shape writing: a fast and fluid writing system designed for mobile devices
Hierarchical Bayesian inference in networks of spiking neurons
SciComp@Cam: Scientific Computing in Cambridge Scientific Computing in Cambridge meeting
The non-equilibrium Bose-Einstein condensation phase transition in microcavity polariton systems
Graph Kernels for Data Mining
Predictive Interaction using the Delphian Desktop
Geometric Algorithms for Linear Independent Component Analysis
Covariate Shift Adaptation: Supervised Learning When Training and Test Inputs Have Different Distributions
Computational and Biological Learning Seminar Series A new mathematical framework for optimal choice of actions
Five energy plans for Britain
Microsoft Research Machine Learning and Perception Seminars Physics-Based Human Motion Models for Animation and Tracking
Combining Causal and Similarity-based reasoning
Crucible/Microsoft HCI Reading Group Assessing Dimensions of Perceived Visual Aesthetics of Web Sites
Efficient Bayesian Task-Level Transfer Learning
What is a Fab Lab?
Kingman's coalescent, non-parametric Bayesian agglomerative clustering
SciComp@Cam: Scientific Computing in Cambridge Scientific Computing in Cambridge meeting
Contextual dependencies in unsupervised word segmentation
Microsoft Research Machine Learning and Perception Seminars Bayesian network structure learning from uncertain interventions
Pre-Gatsby Workshop
Crucible/Microsoft HCI Reading Group Design parameters of rating scales for web sites
Knowledge Compilation
SciComp@Cam: Scientific Computing in Cambridge Scientific Computing in Cambridge meeting
Minimal Perfect Hashing: hash tables with no collisions15 min talk
Clustering by Passing Messages Between Data Points
Title Language Model
Bring your Papers!
Translational regulationhttp://www.mrc-lmb.cam.ac.uk/tcbsymposium/
From superfamilies to familieshttp://www.mrc-lmb.cam.ac.uk/tcbsymposium/
The relation between sequence and function divergence in genomeshttp://www.mrc-lmb.cam.ac.uk/tcbsymposium/
Pfam: 1000 families (and counting) for the molecular biologisthttp://www.mrc-lmb.cam.ac.uk/tcbsymposium/
Ultraconserved nonsensehttp://www.mrc-lmb.cam.ac.uk/tcbsymposium/
Principles and classification of protein structurehttp://www.mrc-lmb.cam.ac.uk/tcbsymposium/
Predicting RNA geneshttp://www.mrc-lmb.cam.ac.uk/tcbsymposium/
About Sandwich Proteins, their sequences and structures, and about many other thingshttp://www.mrc-lmb.cam.ac.uk/tcbsymposium/
Human pseudogenesone-day computational biology meeting
Protein folding: a theoretical viewone-day computational biology meeting
The globins: we thought we understood themone-day computational biology meeting
Cam, Cals and Caprione-day computational biology meeting
Computational and Systems Biology Computational genomics of structural RNAsCCBI Distinguished Seminar Series
Machine Learning Reading Group @ CUED Kingman's coalescent, non-parametric Bayesian agglomerative clustering, and ICML 2007
Crucible/Microsoft HCI Reading Group Do artifacts have politics?
Machine Learning Reading Group @ CUED Sensible priors from finite linear modelsNote unusual time
Microsoft Research Machine Learning and Perception Seminars Generative models for audio and music processing
SciComp@Cam: Scientific Computing in Cambridge Report from Apple WWDC07
SciComp@Cam: Scientific Computing in Cambridge Linux on the Playstation3
Machine Learning Reading Group @ CUED Statistical Models for Partial Membership
Symposium on Computational Biology DNA-binding computation at large and small scales
Symposium on Computational Biology Insight into ion channel biophysics via computer simulations
Symposium on Computational Biology Quadruple stranded DNA: cancer, gene regulation and evolution
Symposium on Computational Biology Simulations of phase transitions: from colloids to proteins
Symposium on Computational Biology The physics of protein folding
Symposium on Computational Biology Measuring and predicting complexity
Machine Learning Reading Group @ CUED Infinite ICA and Information Retrieval
Density-functional perturbation theory goes time dependent: from static properties, to lattice vibrations, up to optical excitations
Language Modelling Discussion
Crucible/Microsoft HCI Reading Group How HCI Interprets the Probes
Open Vocabulary Confusion Networks for Speech Recognition
Microsoft Research Machine Learning and Perception Seminars identity variables for face recognition: from distance based methods to probabilistic inference
MRC Biostatistics Unit Seminars Inference for binary Markov random fields without tears (or MCMC).
Machine Learning Reading Group @ CUED Overlapping Clusters and 4th-year Projects
An Error-Correcting Keyboard
Probabilities, Complexities and Game Semantics
Machine Learning Reading Group @ CUED What can Gaussian Processes do for Reinforcement Learning?
Title to be confirmedThis talk has been canceled/deleted
Microsoft Research Cambridge, general interest public talks Accelerating Discovery: A Grand Challenge for HCI
Machine Learning Reading Group @ CUED System Conditioning vs Explicit Bayes Inference, and Collaborative LDA
Learning and Stability in Random Sigma-Pi Networks
Machine Learning Reading Group @ CUED Affinity Propagation and Hierarchical Beta ProcessesRoom changed, Note unusual time
Shape writing: fluid text entry on mobile devices
The thoughts and brain activity of taxi drivers navigating in London
Machine Learning Reading Group @ CUED Optimal Learning
Bayesian nonparametric latent feature models
Machine Learning Reading Group @ CUED Gaussian Approximations for Binary Gaussian Process Classification, and Hidden Topic Markov Models
Context Tree Weighting
Machine Learning Reading Group @ CUED Function Approximation in MDPs
Variational free energy and the brain
Machine Learning Reading Group @ CUED Change Point Problems in Linear Dynamical SystemsPostponed (originally April 5)
Microsoft Research Machine Learning and Perception Seminars A Bayesian model that links microarray mRNA measurements to mass spectrometry protein measurements
Signal Processing and Communications Lab Seminars Analysis of Channel Coding for Redundant Sources
Learning Patterns in the Game of GoNote unusual time
Machine Learning Reading Group @ CUED GP-LVMs
Inductive Logic Programming and Kernel methods
Inference in Bayesian Networks using Dynamic DiscretisationNote unusual time
Logistic regression with a Laplacian prior on the singular values: convex duality and application to EEG classification.Note unusual time and location
Machine Learning Reading Group @ CUED Topics in Convex Optimisation
Monte Carlo Approaches to Game Playing
Microsoft Research Machine Learning and Perception Seminars Motion Tracking
Bayesian RankingAdvanced Machine Learning Tutorial Lecture
Logistic Regression with a Laplacian prior on the Eigenvalues: Convex duality and application to EEG classificationNote different room and time
Microsoft Research Machine Learning and Perception Seminars A complete set of rotationally and translationally invariant features based on a generalization of the bispectrum to non-commutative groups
Gaussian Process Product Models
Microsoft Research Machine Learning and Perception Seminars Reverse Engineering the Human Visual System with Networks of Spiking Neurons
SPECIES IDENTITY: WHEN IT MATTERS
A Bose-Einstein condensate in an optical lattice: cold atomic gases meet solid state physics
Machine Learning Reading Group @ CUED An Introduction to Generalized Ensemble MCMC for Machine Learning
Optics with laser-like atom waves
Metropolis-Coupled MCMC for Nested Sampling
Almost Absolute Zero: the story of laser cooling and trappingRefreshments will be served after this Lecture in the Pippard Foyer
Journal Club: "Analysis of Contour Motions"
IMMUNOLOGICAL SELF
Dirichlet Processes and Hierarchical Dirichlet ProcessesAdvanced Machine Learning Tutorial Lecture
Machine Learning Reading Group @ CUED Some NIPS papers
Crucible/Microsoft HCI Reading Group Moving on from Weiser's Vision of Calm Computing: engaging UbiComp experiences
Some interesting data: Cryptic DNA sequence periodicities are ubiquitous, organism specific and distinguish introns from exons.
An Introduction to Non-parametric Bayesian MethodsRoom changed this week!
Machine Learning Reading Group @ CUED Universal Artificial Intelligence, and Probability Monads
Title to be confirmedThis talk has been canceled/deleted
Machine Learning Reading Group @ CUED Neural Networks
Cold and dense dipolar exciton quantum fluids in two dimensions.
NIPS presentations
Journal Club: "Bayesian Policy Gradient Algorithms"
Microsoft Research Machine Learning and Perception Seminars Margin- and Evidence-Based Approaches for EEG Signal Classification
Machine Learning Reading Group @ CUED Latent Dirichlet Allocation and Dirichlet Diffusion Trees
Planar Photonics meta-materials: spectral selectivity, "invisible metals", magnetic mirrors, chirality, asymmetric transmission and nano-focusing
Gaussian Process Belief Propagation
Robot Localisation and MappingAdvanced Machine Learning Tutorial Lecture
Machine Learning Reading Group @ CUED Non-parametric mixture models
Crucible/Microsoft HCI Reading Group How expert engineering teams use disciplines of innovation
Modeling Natural Sounds with Gaussian Modulation Cascade Processes
Loss Functions for Discriminative Training of Energy-Based Models
Machine Learning Reading Group @ CUED Active Learning and Experimental DesignNote unusual time
SOME MACROSCOPIC PROPERTIES OF FILMS AND BUBBLES DEMONSTRATED
Modeling text with Dirichlet compound multinomial distributions
Estimation of non-normalized statistical models using score matching
Machine Learning Reading Group @ CUED Collaborative Filtering
Learning from positive and unlabeled data
HMMs for controlling dynamical systems
Crucible/Microsoft HCI Reading Group Emotion recognition in human-computer interaction
Microsoft Research Machine Learning and Perception Seminars Computer Go Research in the University of Alberta GAMES Group
Title to be confirmedThis talk has been canceled/deleted
Robust Gaussian Process Regression and Applications
Microsoft Research Machine Learning and Perception Seminars Where’s my rocket? – Stochastic simulations of rocket flight paths
Journal Club: "Reducing the Dimensionality of Data with Neural Networks"
Crucible/Microsoft HCI Reading Group Using action research in information systems design to address change: a South African health information systems case study
Transcription regulation: from parts list to genomic network.
Na_x Co O_2: What's going on at high doping
Machine Learning Reading Group @ CUED On Choosing Priors
Microsoft Research Machine Learning and Perception Seminars Learning Conditional Random Fields with Hierarchical Features: Application to the Game of Go
Microsoft Research Machine Learning and Perception Seminars Constraint Programming Techniques for Virtual Camera Control
Journal Club: "Clustering appearance and shape by learning jigsaws"
Advanced MCMC MethodsAdvanced Machine Learning Tutorial Lecture
Machine Learning Reading Group @ CUED Partially Observable Markov Decision Processes (POMDPs)
Bayesian estimation of neuronal connectivity from MEA recordings
Journal Club "Searching for memories, Sudoku, implicit check-bits, and the iterative use of not-always-correct rapid neural computation"
Expectation PropagationAdvanced Machine Learning Tutorial Lecture
Machine Learning Reading Group @ CUED Nonlinear Dimensionality Reduction
Vector Gaussian Processes
Journal Club: "Document language models, query models, and risk minimization for information retrieval"
CausalityAdvanced Tutorial Lecture Series on Machine Learning
Machine Learning Reading Group @ CUED Machine Learning Reading Group in Engineering Department
Relationships between Structure, Dynamics and Catalytic Activity at Solid Surfaces
Do Scanning Electron Microscopes have a point-spread function?
Microsoft Research Machine Learning and Perception Seminars Learning microRNA regulatory networks from genomic sequence and expression data
Journal Club: A Neural Probabilistic Language Model
Interdisciplinary Design: Debates and Seminars Embodiment and the Sciences of the Mind
Gaussian Processes for Machine LearningAdvanced Machine Learning Tutorial Lecture
Dynamic imaging of blood flow in the conjunctival and episcleral microcirculations of the human eye: a new chapter in diagnostic imaging?
WAS EINSTEIN RIGHT?
Expectation Consistent Approximate Inference
Wednesday Seminars - Department of Computer Science and Technology Learning Probabilistic Sequence Models for Uncovering Gene RegulationThis talk was originally scheduled for October 4. NOTE THAT IT IS NOT AT THE USUAL TIME.
Teaching Statistics - A Bag of Tricks
Leaf Selection for Maximising Diversity in a Tree
Fred Hoyle: discovery and conflict in astrophyiscs and cosmology
Mixture Models and the EM AlgorithmAdvanced Machine Learning Tutorial Lecture
Optimised Digital Fountain Codes for Medium Blocklengths
An interesting preprint
MCMC for doubly-intractable distributions
Interdisciplinary Design: Debates and Seminars Rethinking Information and Space in Ubiquitous Computing
A Hierarchical Bayesian Language Model based on Pitman-Yor Processes
How to veto anonymously under surveillance?
Journal Club: "A Bayesian Analysis of Projective Incidence"
Naive OCR?
Getting it Right the Second Time: Recognition of Spoken Corrections
Cognitive Cars
Crucible/Microsoft HCI Reading Group Understanding Non-Literacy as a Barrier to Mobile Phone Communication
sparse GP classificationPOSTPONED
neural phase codes
Graphical Combinator Programming
The Manufacture of Bioethanol - A brief Introduction
Divergence measures and latent variable models
Implicit learning in Music
On the Analysis of Ellipsoid Approximation of Nested Sampling
Crucible/Microsoft HCI Reading Group Older People as a focus for Inclusive Design
Gaussian Process models for solving ODEs
Ligand detection and discrimination by spatial relocalisation: the complexities of T cell activation
Information-Theoretic Security in Wireless Networks: From Theory to Practice
Music Access for the Disabled
Blissymbolics - The Emergence of a Written Language
In search of the brain's wiring
A Bayesian Unfolding Method Applied to the PAMELA Experiment
Blissymbolics
Journal Club: Dirty paper coding and applications
Finite element modelling of growing microtubules
Bayesian Sets
Crucible/Microsoft HCI Reading Group Making by making strange: Defamiliarization and the design of domestic technologies
Capacity of phase-based attractor networks with pairwise couplings
Joint LDPC Decoding and Timing Recovery Using Code Constraint Feedback
SUPERFAST SOLUTION OF REAL POSITIVE DEFINITE TOEPLITZ SYSTEMS
Title to be confirmed
Unsupervised Learning from Users' Error Correction in Speech Dictation
Hierarchical Bayesian inference in the visual cortex
How to Parameterize a Positive-definite Matrix
To be confirmed
Crucible/Microsoft HCI Reading Group Implications for Design
Chameleon Metals: from nanostructures for plasmon engineering to molecular detection
The Capacity of the Deletion Channel
"Weak pairwise correlations imply strongly correlated network states in a neural population"
Sleeping Beauty and the Armchair CosmologistNote unusual time
Machine Learning Journal Club: Gaussian Processes for Machine Learning Chapter VIII
The 'Rich Club' phenomenon in large networksNote unusual day
Bayesian approximation for physical inverse problems
Hierarchical Passage Retrieval
The Swendsen-Wang algorithm (tutorial), and the "Baby and Toy" algorithm
Machine Learning Journal Club: "Gaussian Processes for Machine Learning"
Bayesian Online Changepoint Detection
Graph Transformation Method for Calculating Waiting Times in Markov Chains
Machine Learning Journal Club: "Gaussian Processes for Machine Learning"
Epitomic representation of natural signals
Machine Learning Journal Club: "Gaussian Processes for Machine Learning"
Aggregation of Particles in Stochastic Flows
Student Project Presentations: "Colour Memorisation", "One button communication" and "Optimising digital fountain codes"
Visualizing Complex Electronic Quantum Matter
Student Project Presentations: "Redundancy in Turing machines"; "A two button implementation of Dasher" and "Relationships between energy and information in fly retina"
Probabilistic Dimensional Reduction with the Gaussian Process Latent Variable Model
SURVIVING LONGER
A Brief History Of Electronic Musical Instruments
Crucible/Microsoft HCI Reading Group Project Ernestine: Validating a GOMS analysis for predicting and explaining real-world performance
"Atoms Made Entirely of Antimatter: Two Methods Produced Slow Antihydrogen"
Speech Recognition During Dictation Corrections
SURVIVING POVERTY AND FAMINE
Machine Learning Journal Club: "Dependent Gaussian Processes"
Topic Modeling: Beyond Bag-of-Words
SURVIVING NATURAL DISASTERS
Introduction to Cinematography
Uncertainty Logic
Machine Learning Journal Club: "Assessing Approximations for Gaussian Process Classification"
Experimental Annotation of the Human Genome
New Ideas in Particle Physics and Cosmology. Diquarks: Reforming Hadron Spectroscopy
Machine Learning Journal Club: "Sparse Gaussian Processes using Pseudo-inputs"
New Ideas in Particle Physics and Cosmology. Dark Matters: WIMPs and Axions
Virtual-move Parallel Tempering
New Ideas in Particle Physics and Cosmology: Unification, Supersymmetry, and the Family Problem
SURVIVAL OF LANGUAGES
Bird flu, MMR, herceptin; Medicine and the Media.
reading-group: Divergence measures and message passing
Crucible/Microsoft HCI Reading Group An evaluation of integrated zooming and scrolling on small screens
Latency-optimal fault-tolerant replication
reading-group: Expectation Propagation
"The Nearby Universe as Revealed by the Spitzer Space Telescope"
Dynamical Networks for Agent Systems
Recognition and prediction of biological motion
Lexicographic text analysis using non-negative factorisation techniques
reading-group: Interpolating Between Types and Tokens by Estimating Power-Law Generators
Probability + Information Reading Group Uffink's "Can the maximum entropy principle be explained as a consistency requirement?"
Eye Tracking with Consumer Hardware
Interactive Fiction
Crucible/Microsoft HCI Reading Group The streamlined cognitive walkthrough method, working around social constraints encountered in a software development company
reading-group: TD-Gammon
Birdsong and the Environment: How to Speed Up Evolution
Probability + Information Reading Group Uffink's "Can the maximum entropy principle be explained as a consistency requirement?"
Cheap and cheerful inference machines for tracking
Reading Group: "Learning to Predict by the Methods of Temporal Differences"
Probabilistic models of human sensorimotor control
Efficient Quantum Computation with linear optics
Probability + Information Reading Group Gull and Skilling's "The Maximum Entropy Method"
Locked-in syndrome
Probability + Information Reading Group Knuth's "Source Separation as an exercise in logical inference"
Scanning the cosmological horizon
Monte Carlo is Bayesian
Controlling Natural Ventilation
Probability + Information Reading Group John Skilling's "The Calculus of Rational Inference"
Crucible/Microsoft HCI Reading Group User interface design with matrix algebra.
Dasher for the blind, and some visual illusions
"Matplotlib" for Numerical Python
Probability + Information Reading Group Knuth's "Lattice Duality: The Origin of Probability and Information"
Probability + Information Reading Group Knuth's "Lattice Duality: The Origin of Probability and Information" (4)
Probability + Information Reading Group Knuth's "Lattice Duality: The Origin of Probability and Information" (3)
The Support of Mountains and the Survival of Ancient Continental Cratons
A Cross-Entropy Based Method to Analyse Iterative Decoding
Introduction to the African Institute for Mathematical Sciences
Probability + Information Reading Group Knuth's "Lattice Duality: The Origin of Probability and Information" (2)
Unification, Supersymmetry, and the Family Problem
Crucible/Microsoft HCI Reading Group Bounding Rational Analysis: Constraints on the Approach to Optimality
Bayesian Pattern Ranking for Move Prediction in the Game of Go
Sustainable computer workstations
Probability + Information Reading Group Knuth's "Lattice Duality: The Origin of Probability and Information"
To be confirmed
Crucible/Microsoft HCI Reading Group Wicked Problems Revisited
Adaptive Monte Carlo Methods for Simulation and Optimization
Language relationships, phonology, and Greek
Efficient communication with buttons: an update on Button Dasher
An introduction to Haskell
Crucible/Microsoft HCI Reading Group Let's stop pushing the envelope and start addressing it: a reference task agenda for HCI
Progress with #Dasher, a Continuous Gesture IDE
How Work Works
Why do fruitflies like bananas?
Photon Collection Paradigms: Exposure Control in Photography
New faces in human evolution: Do recent discoveries warrant the media hype?
Crucible/Microsoft HCI Reading Group An activity theory approach to affordance
multicanonical sampling
An introduction to Brain-Computer Interfaces
The Debian Women Project
To be confirmed
What we face in facing up to complexity in the genetics of complex disease
They are talking, are you listening: Bacterial Communication and Community Behaviour
LOCUS: Learning Object Classes with Unsupervised Segmentation
Efficient computer interfaces using continuous gestures, language models, and speech; Probabilistic methods for interpreting electronic ink
A Fast Learning Algorithm for Deep Belief Nets
Epitomes And Epitexts
Sustainable Energy
Monte Carlo experiments in computer Go
Language Modelling In Dasher: A Tutorial
Crucible/Microsoft HCI Reading Group What we talk about when we talk about context
Hierarchical Dirichlet Process Models for Time Series Data
Reading group: Bayesian inference via search
Japanese Language Model
A Tale of T9
Information and Intelligence
Neighbourhood Components Analysis
Scheme: The Programming Language of the Gods
Probing the Early Universe with Observations of the Cosmic Microwave Background Radiation
Local Interstellar Medium / History of Investigation of Mars and Venus in USSR (1960-1996)
Nested Sampling for Motif Discovery
Atom Chips: A Vision for Quantum Information
Joint Gaussian Process-Density Mixtures
Feeling and Influencing Active Intracellular Polymer Networks with Light
Computer Othello
Variational Gibbs Sampling
Astronomical Image Recognition
Bloom Filters and Tries (a comparison)
The predictive power of contractive neural-network spaces
Communicating with buttons: current progress in one- and two-button Dasher
Bayesian Learning for Visual Inference
Approximating The Hierarchical Dirichelet Distribution
Please see above for contact details for this list. |
Other listsPhotonics Research Group - Department of Electrical Engineering Travel and Expeditions Thinking Society: General and ParticularOther talksAlzheimer's talks What sort of challenge is climate change? Fifty years of editorialising in ‘Nature’ and ‘Science’ Microsporidia: diverse, opportunistic and pervasive pathogens Investigation into appropriate statistical models for the analysis and visualisation of data captured in clinical trials using wearable sensors Religion, revelry and resistance in Jacobean Lancashire Cambridge - Corporate Finance Theory Symposium September 2017 - Day 1 The Digital Doctor: Hope, Hype, and Harm at the Dawn of Medicine’s Computer Age Towards bulk extension of near-horizon geometries Cambridge-Lausanne Workshop 2018 - Day 2 Vision Journal Club: feedforward vs back in figure ground segmentation CANCELLED IN SYMPATHY WITH STRIKE Nationality, Alienage and Early International Rights |