Machine Learning @ CUED

Application of the optimal transport Gromov-Wasserstein problem to manifold learning and graph analysis

Hugues Van Assel; École Normale Supérieure de Lyon.

Cambridge University Engineering Department, CBL Seminar room BE4-38..

Thursday 13 June 2024, 11:00-12:00

Machine Learning @ CUED

Application of the optimal transport Gromov-Wasserstein problem to manifold learning and graph analysis

Hugues Van Assel; École Normale Supérieure de Lyon.

Cambridge University Engineering Department, CBL Seminar room BE4-38..

Thursday 13 June 2024, 11:00-12:00

Machine Learning @ CUED

Application of the optimal transport Gromov-Wasserstein problem to manifold learning and graph analysis

Hugues Van Assel; École Normale Supérieure de Lyon.

Cambridge University Engineering Department, CBL Seminar room BE4-38..

Thursday 13 June 2024, 11:00-12:00

Machine Learning @ CUED

Consistent Validation for Predictive Methods in Spatial Settings

David Burt, MIT.

Cambridge University Engineering Department, CBL Seminar room BE4-38..

Friday 23 February 2024, 13:00-14:00

Machine Learning @ CUED

Modern Bayesian Experimental Design

Dr Tom Rainforth, OxCSML Group in the Department of Statistics at the University of Oxford.

Cambridge University Engineering Department, CBL Seminar room BE4-38..

Tuesday 28 November 2023, 11:00-12:00

Machine Learning @ CUED

Visit and talk by Jay McClelland: "Some thoughts on the differences between human and machine intelligence"

Jay McClelland, Stanford University .

Cambridge University Engineering Department, CBL Seminar room BE4-38..

Thursday 14 September 2023, 15:00-17:00

Machine Learning @ CUED

Compositional mathematics and automatic gradient descent

Jeremy Bernstein, MIT.

Cambridge University Engineering Department, CBL Seminar room BE4-38..

Friday 14 July 2023, 11:00-12:00

Machine Learning @ CUED

Convergence bounds for the Random Walk Metropolis algorithm - Perspectives from Isoperimetry

Sam Power, University of Bristol.

Cambridge University Engineering Department, CBL Seminar room BE4-38..

Thursday 11 May 2023, 11:00-12:00

Machine Learning @ CUED

Calls to F the Algorithm: Lessons from the 2020 Exam Debacle

Roger Taylor, former Chair of Ofqual.

Cambridge University Engineering Department, Lecture Room 4.

Monday 30 January 2023, 11:00-12:00

Machine Learning @ CUED

Scalable simulation and inference in non-Gaussian stochastic PDEs

David Duvenaud (University of Toronto).

Cambridge University Engineering Department, CBL Seminar room BE4-38..

Thursday 15 December 2022, 11:00-12:00

Machine Learning @ CUED

Measuring Alignment Between Perceptual Systems: An Analysis Through The Lens of Shared Invariances

Vedant Nanda, MPI-SWS + University of Maryland .

Hybrid meeting, CBL seminar room, and Zoom https://talks.cam.ac.uk/talk/edit/192845.

Thursday 24 November 2022, 11:30-12:30

Machine Learning @ CUED

Gaussian processes, spectral analysis kernels and optimal transport

Felipe Tobar, Universidad de Chile.

CBL Seminar Room.

Tuesday 22 November 2022, 11:00-12:00

Machine Learning @ CUED

Deep Reinforcement Learning for Multi-Agent Interaction

Stefano Albrecht, Edinburgh.

Hybrid, CBL Seminar room, Department of Engineering, and Zoom https://eng-cam.zoom.us/j/82019956685?pwd=WUNSVVcrdC9IZGxQOHFhSThjUjd2dz09.

Thursday 17 November 2022, 11:00-12:30

Machine Learning @ CUED

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

Lachan Thorpe, Hawk-Eye Innovations.

Lecture Theatre 6 (LT6), Department of Engineering.

Monday 14 November 2022, 13:00-14:00

Machine Learning @ CUED

Noise-Aware Differentially Private Synthetic Data

Antti Honkela, University of Helsinki.

Hybrid, CBL Seminar room, Department of Engineering, and Zoom https://eng-cam.zoom.us/j/89002493651?pwd=B_2gKl7va_h0CQ9yoMPSbn2ifYLGi4.1.

Tuesday 28 June 2022, 11:00-12:00

Machine Learning @ CUED

Estimating RSV seasonality from pandemic disruptions: a modelling study

Fabienne Krauer, The London School of Hygiene & Tropical Medicine.

Hybrid, CBL Seminar room, and Zoom https://eng-cam.zoom.us/j/84968458381?pwd=TWM5ZkF2bjdBM09jaVlJZHRUTFlFUT09.

Thursday 16 June 2022, 11:00-12:00

Machine Learning @ CUED

Beyond Conformal Prediction: Distribution-Free Uncertainty Quantification for Complex Machine Learning Tasks

Anastasios Angelopoulos, PhD student at UC Berkeley.

Hybrid meeting, CBL seminar room, and Zoom https://eng-cam.zoom.us/j/84829493214?pwd=HI3JJJ8nrt6O8AELEzbXvT8ZoBj51t.1.

Friday 13 May 2022, 11:30-12:30

Machine Learning @ CUED

Graph neural network approach for decentralized multi-robot coordination

University of Cambridge.

Hybrid meeting, CBL seminar room, and Zoom https://eng-cam.zoom.us/j/87988930234?pwd=eHRGTHFtUE9UL0pJOWNtdDF2VDN2UT09.

Thursday 21 April 2022, 11:00-12:00

Machine Learning @ CUED

Efficient and Structured Uncertainty: Challenges and Opportunities

Andrey Malinin, Yandex Research.

Virtual (see abstract for Zoom link).

Wednesday 22 July 2020, 11:00-12:00

Machine Learning @ CUED

Game Playing Meets Game Theory: Strategic Learning from Simulated Play

wellman@umich.edu.

Engineering Department, CBL Room BE-438..

Thursday 05 March 2020, 11:00-12:00

Machine Learning @ CUED

Robust Deep Learning Under Distribution Shift

Zack Lipton, CMU.

Engineering Department, CBL Room BE-438..

Friday 24 January 2020, 11:00-12:00

Machine Learning @ CUED

Models and inference for temporal Gaussian processes

William Wilkinson, Aalto University, Finland.

Engineering Department, CBL Room BE-438..

Tuesday 12 November 2019, 11:00-12:00

Machine Learning @ CUED

Reinforcement Learning at Huawei: Robustness, Safety, and Efficiency

Haitham Ammar, Huawei.

Engineering Department, CBL Room BE-438..

Wednesday 30 October 2019, 10:00-11:00

Machine Learning @ CUED

Constructing temporal latent spaces: Representation learning for clustering and imputation on time series

Vincent Fortuin, ETH Zurich.

Engineering Department, CBL Room BE-438..

Monday 28 October 2019, 11:00-12:00

Machine Learning @ CUED

Explaining Neural Networks: Post-hoc and Natural Language Explanations

Oana Camburu, University of Oxford.

Engineering Department, CBL Room BE-438..

Friday 25 October 2019, 11:00-12:00

Machine Learning @ CUED

Learning-Algorithms from Bayesian Principles

Emti Khan, RIKEN center for Advanced Intelligence Project.

Engineering Department, CBL Room BE-438..

Tuesday 24 September 2019, 10:00-11:00

Machine Learning @ CUED

Rotation Invariant Householder Parameterization for Bayesian PCA

Rajbir Nirwan, Goethe University, Frankfurt.

Engineering Department, CBL Room BE-438..

Wednesday 04 September 2019, 11:00-12:00

Machine Learning @ CUED

Two Approximate Sampling Methods for Bayesian Deep Learning

Wesley Maddox (New York University).

Engineering Department, CBL Room BE-438..

Friday 23 August 2019, 11:00-12:00

Machine Learning @ CUED

Semi-Unsupervised Learning with Deep Generative Models / Disentangling Improves VAEs' Robustness to Adversarial Attacks

Matthew Willetts and Alexander Camuto, University of Oxford / Alan Turing Institute.

Engineering Department, CBL Room BE-438..

Wednesday 17 July 2019, 14:00-15:00

Machine Learning @ CUED

Efficiency and Transferability of Neural Networks

Amos Storkey, School of Informatics, University of Edinburgh.

Engineering Department, CBL Room BE-438..

Friday 12 July 2019, 11:00-12:00

Machine Learning @ CUED

Learning via Data Compression: Bayesian Coresets and Sparse Variational Inference

Trevor Campbell, University of British Columbia.

Engineering Department, CBL Room BE-438..

Wednesday 26 June 2019, 11:00-12:00

Machine Learning @ CUED

Deep Neural Networks: A Nonparametric Bayesian Approach with Local Competition

Konstantinos P. Panousis.

Engineering Department, CBL Room BE-438..

Thursday 20 June 2019, 11:00-12:00

Machine Learning @ CUED

Information Consumption on Social Media: Efficiency, Trust, and Divisiveness

Reza Babaei.

Engineering Department, CBL Room BE-438..

Tuesday 11 June 2019, 15:00-15:30

Machine Learning @ CUED

Why Do We Need New Hardware & Software for Machine Intelligence?

Victoria Rege, Scott Griffiths.

Engineering Department, CBL Room BE-438..

Friday 17 May 2019, 11:00-12:00

Machine Learning @ CUED

Nonparametric Generative Modeling via Optimal Transport and Diffusions with Provable Guarantees

Umut Şimşekli, Télécom Paristech.

Engineering Department, CBL Room BE-438..

Tuesday 07 May 2019, 11:00-12:00

Machine Learning @ CUED

NeVAE: A Deep Generative Model for Molecular Graphs

Abir De, Max Planck Institute for Software Systems.

Engineering Department, CBL Room BE-438..

Monday 08 April 2019, 11:00-12:00

Machine Learning @ CUED

Global model explainability via aggregation

Umang Bhatt, CMU.

Engineering Department, CBL Room BE-438..

Thursday 04 April 2019, 16:00-16:45

Machine Learning @ CUED

Robust machine learning for causal inference in health care

David Sontag, MIT.

Engineering Department, CBL Room BE-438..

Wednesday 27 March 2019, 11:00-12:00

Computational Neuroscience

The K-FAC method for neural network optimization

James Martens, Google Deep Mind.

Cambridge University Engineering Department, CBL, BE4-38 (http://learning.eng.cam.ac.uk/Public/Directions).

Thursday 14 March 2019, 14:00-15:00

Machine Learning Reading Group @ CUED

Generative models for few-shot prediction tasks

Marta Garnelo (Google DeepMind).

Engineering Department, CBL Room BE-438.

Wednesday 20 February 2019, 13:45-15:15

Machine Learning @ CUED

Online Meta-Learning

Massimiliano Pontil, University College London.

Engineering Department, CBL Room BE-438..

Thursday 14 February 2019, 11:00-12:00

Computational Neuroscience

High-dimensional dynamics of generalization error in neural networks: implications for experience replay

Dr. Andrew Saxe, University of Oxford.

Cambridge University Engineering Department, CBL, BE4-38 (http://learning.eng.cam.ac.uk/Public/Directions).

Friday 01 February 2019, 12:30-13:30

Machine Learning @ CUED

Gauge Equivariant Convolutional Networks on Manifolds

Taco Cohen.

Engineering Department, CBL Room BE-438..

Thursday 31 January 2019, 13:30-14:30

Machine Learning @ CUED

Observation and Intervention Incentives in Causal Influence Diagrams: Towards an Understanding of Powerful Machine Learning Systems

Tom Everitt (DeepMind).

Engineering Department, LR5 (in front of library, 1st floor).

Friday 25 January 2019, 11:00-12:00

Machine Learning @ CUED

Fairness for Sequential Decision Making Algorithms

Hoda Heidari.

Engineering Department, CBL Room BE-438..

Thursday 17 January 2019, 11:00-12:00

Machine Learning @ CUED

Gaussian processes for inferring latent functions in complex data models

Martin Tegner.

Engineering Department, CBL Room BE-438..

Tuesday 18 December 2018, 10:30-11:00

Machine Learning @ CUED

Causal Inference for Treatment Effects: A Theory and Associated Learning Algorithms

Mihaela van der Schaar .

Engineering Department, CBL Room BE-438..

Thursday 11 October 2018, 11:00-12:00

Machine Learning @ CUED

Interpretability - the myth, questions, and some answers

Been Kim, Google Brain.

Engineering Department, Board Room on the 2nd Floor.

Monday 10 September 2018, 11:00-12:00

Machine Learning @ CUED

Constraint-based causal Discovery from NOnstationary/heterogeneous Data (CD-NOD)

Biwei Huang, CMU.

dyson teaching room (TBC).

Friday 24 August 2018, 11:00-12:00

Machine Learning @ CUED

Fast yet Simple Natural-Gradient Variational Inference in Complex Models

Emtiyaz Khan, team leader (equivalent to Full Professor) at the RIKEN center for Advanced Intelligence Project (AIP) in Tokyo.

Engineering Department, CBL Room BE-438..

Monday 16 July 2018, 11:00-12:00

Machine Learning @ CUED

Variance in Policy Gradient methods and Learning Sequential Latent Variable Models

George Tucker, Google Brain.

Engineering Department, CBL Room BE-438..

Wednesday 04 July 2018, 11:00-12:00

Machine Learning @ CUED

Structured deep models: Deep learning on graphs and beyond

Thomas Kipf (Uni of Amsterdam).

Engineering Department, CBL Room BE-438..

Thursday 21 June 2018, 11:00-12:00

Machine Learning @ CUED

Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

Prof. Michael Kearns (University of Pennsylvania).

Cambridge University Engineering Department, Lecture Room 4.

Thursday 14 June 2018, 11:00-12:00

Machine Learning @ CUED

Semi-Generative Modelling: Domain Adaptation with Cause and Effect Features

Julius von Kugelgen.

Engineering Department, CBL Room BE-438..

Wednesday 23 May 2018, 11:30-12:00

Machine Learning @ CUED

Algorithmic Glass Ceiling in Social Networks

Ana Stoica, Columbia University.

Engineering Department, CBL Room BE-438..

Wednesday 09 May 2018, 11:00-12:00

Machine Learning @ CUED

A Bayesian Perspective on Generalization and SGD

Dr. Samuel L. Smith, Google Brain.

Cambridge University Engineering Department, Lecture Room 11.

Tuesday 17 April 2018, 11:00-12:00

Machine Learning @ CUED

Algorithmic Glass Ceiling in Social Networks

Ana Stoica, Columbia University.

Engineering Department, CBL Room BE-438..

Sunday 15 April 2018, 11:00-12:00

Machine Learning @ CUED

Structure in tensor-variate data: a trivial byproduct of simpler phenomena?

John P. Cunningham.

CBL Seminar Room.

Tuesday 06 March 2018, 11:00-12:00

Machine Learning @ CUED

Lipschitz Global Optimization

Professor Yaroslav D Sergeyev, Universita della Calabria.

CBL Seminar Room.

Friday 16 February 2018, 11:00-12:00

Machine Learning @ CUED

Variational inference for some models with Polya-Gamma latent variables and Gaussian process priors

Manfred Opper, TU Berlin.

Engineering Department, CBL Room BE-438..

Wednesday 13 December 2017, 13:30-14:30

Machine Learning @ CUED

Bayesian Generative Adversarial Networks

Professor Andrew Wilson, Cornell University.

CBL Seminar Room.

Wednesday 13 December 2017, 11:00-12:00

Machine Learning @ CUED

AI for Inclusive Finance

Alan Qi and Le Song.

CBL Seminar Room.

Friday 01 December 2017, 11:00-12:00

Machine Learning @ CUED

Backprop through the Void: Optimizing Control Variates for Black-Box Gradient Estimation.

Geoff Roeder (University of Toronto).

CBL Seminar Room.

Monday 27 November 2017, 11:00-12:00

Machine Learning @ CUED

Learning to Learn without Gradient Descent by Gradient Descent

Yutian Chen, DeepMind.

CBL Seminar Room.

Friday 24 November 2017, 11:00-12:00

Machine Learning @ CUED

Towards true end-to-end learning & optimization

Dr Frank Hutter.

CBL Seminar Room.

Friday 17 November 2017, 11:00-12:00

Machine Learning @ CUED

Targeted Disclosure to Support Auditing and Accountability for Automated Decision-making

Joshua Kroll.

CBL Seminar Room.

Wednesday 01 November 2017, 11:00-12:00

Machine Learning @ CUED

Nonlinear ICA using temporal structure: a principled framework for unsupervised deep learning

Prof. Aapo Hyvarinen.

CBL Room BE-438, Department of Engineering.

Thursday 19 October 2017, 11:00-12:00

Machine Learning @ CUED

Transfer Learning for NLP

Sebastian Ruder, INSIGHT Centre.

JDB Seminar Room, CUED.

Friday 13 October 2017, 14:00-15:00

Machine Learning @ CUED

A Bayesian Treatment for Uncertainty -- and its application in health care

Dr Cheng Zhang.

CBL Seminar Room.

Tuesday 26 September 2017, 15:00-16:00

Machine Learning @ CUED

Unbiased Estimation of the Eigenvalues of Large Implicit Matrices

Professor Ryan Adams, Princeton.

CBL Room BE-438, Department of Engineering.

Thursday 14 September 2017, 11:00-12:00

Machine Learning @ CUED

The Grammar Variational Autoencoder & Counterfactual Fairness

Dr Matt Kusner.

CBL Room BE-438, Department of Engineering.

Tuesday 12 September 2017, 11:00-12:00

Machine Learning @ CUED

Accelerating computation of SVM and DNN by binary approximation

Hironobu Fujiyoshi (Chubu University) .

CBL Room BE-438, Department of Engineering.

Friday 08 September 2017, 11:00-12:00

Machine Learning @ CUED

Towards User-Friendly Image Inpainting: Learning-to-Rank based Image Quality Assessment for Image Inpainting

Mariko Isogawa (NTT Media Intelligence Laboratories) .

CBL Room BE-438, Department of Engineering.

Friday 08 September 2017, 11:00-12:00

Machine Learning @ CUED

Deep learning for autonomous driving

Takayoshi Yamashita (Chubu University) .

CBL Room BE-438, Department of Engineering.

Friday 08 September 2017, 11:00-12:00

Machine Learning @ CUED

Understanding Black-box Predictions via Influence Functions

Pang Wei Koh, Stanford University.

CBL Room BE-438, Department of Engineering.

Thursday 20 July 2017, 14:00-15:00

Machine Learning @ CUED

A simple neural network module for relational reasoning

David Barrett, DeepMind.

CBL Room BE-438, Department of Engineering.

Thursday 06 July 2017, 11:00-12:00

Machine Learning @ CUED

Future technology: machine learning using memristors networks

Francesco Caravelli (LANL).

CBL Room BE-438, Department of Engineering.

Monday 03 July 2017, 11:00-12:00

Machine Learning @ CUED

Future technology: machine learning using memristors networks

Francesco Caravelli (LANL).

CBL Room BE-438, Department of Engineering.

Monday 03 July 2017, 11:00-12:00

Machine Learning @ CUED

On Different Distances Between Distributions and Generative Adversarial Networks

Martin Arjovsky.

JDB Seminar Room, CUED.

Thursday 25 May 2017, 11:00-12:00

Machine Learning Study Group

Deep Learning Book - Meeting 9 - Representation Learning

Group Discussion.

CBL Room BE-438.

Tuesday 11 April 2017, 13:30-15:00

Machine Learning Study Group

Deep Learning Book - Meeting 8 - Autoencoders

Group Discussion.

CBL Room BE-438.

Tuesday 04 April 2017, 13:30-15:00

Machine Learning Study Group

Deep Learning Book - Meeting 7 - Neural Turing Machines & Conditional Random Fields as RNNs

Group Discussion.

CBL Room BE-438.

Tuesday 21 March 2017, 13:30-15:00

Information Engineering Division seminar list

Bayesian Optimization for Probabilistic Programs

Tom Rainforth, University of Oxford.

Cambridge University Engineering Department, CBL Seminar room BE4-38.

Wednesday 15 March 2017, 11:00-12:00

Machine Learning Study Group

Deep Learning Book - Meeting 6 - Recurrent Neural Networks

Group Discussion.

CBL Room BE-438.

Tuesday 14 March 2017, 13:30-15:00

Machine Learning @ CUED

Differentially Private Bayesian Learning

Dr Antti Honkela, University of Helsinki.

CBL Room BE-438, Department of Engineering.

Tuesday 14 March 2017, 11:00-12:00

Computational and Biological Learning Seminar Series

Control, inference and learning

Prof. dr. H.J. (Bert) Kappen (Radboud University Nijmegen).

Engineering Department, CBL Room 438.

Friday 10 March 2017, 11:00-12:00

Machine Learning @ CUED

Differential Privacy Tutorial

Alex Matthews and John Bradshaw, University of Cambridge.

CBL Room BE-438, Department of Engineering.

Thursday 09 March 2017, 13:30-15:00

Machine Learning Study Group

Deep Learning Book - Meeting 5 - ResNets and DenseNets

Group Discussion.

CBL Room BE-438.

Thursday 02 March 2017, 13:30-15:00

Machine Learning @ CUED

Cooperative Inverse Reinforcement Learning

Dylan Hadfield-Menell, UC Berkeley.

CBL Room BE-438, Department of Engineering.

Thursday 23 February 2017, 15:00-16:00

Machine Learning Study Group

Deep Learning Book - Meeting 4 - Convolutional Networks

Group Discussion.

CBL Room BE-438.

Thursday 23 February 2017, 13:30-15:00

Machine Learning Study Group

Deep Learning Book - Meeting 3 - Optimization

Group Discussion.

CBL Room BE-438.

Tuesday 14 February 2017, 13:30-15:00

Machine Learning @ CUED

Bayesian optimisation in many dimensions with bespoke probabilistic programs

Valentin Dalibart.

CBL Room BE-438, Department of Engineering.

Friday 10 February 2017, 11:00-12:00

Machine Learning Study Group

Deep Learning Book - Meeting 2 - Regularization

Group Discussion.

CBL Room BE-438.

Tuesday 07 February 2017, 13:30-15:00

Machine Learning Study Group

Deep Learning Book - Meeting 1 - Deep Feedforward NNs

Group Discussion.

CBL Room BE-438.

Tuesday 31 January 2017, 13:30-15:00

Machine Learning @ CUED

Variational Bayes In Private Settings

Mijung Park, University of Amsterdam.

CBL Room BE-438, Department of Engineering.

Wednesday 25 January 2017, 15:00-16:00

Machine Learning @ CUED

Julia: Introduction and new developments

Dr Simon Byrne (Julia Computing).

CBL Room BE-438, Department of Engineering.

Tuesday 24 January 2017, 11:00-12:00

Machine Learning @ CUED

Bayesian optimality and frequentist extended admissibility are equivalent in saturated models

Daniel Roy (University of Toronto).

CBL Room BE-438, Department of Engineering.

Thursday 15 December 2016, 11:00-12:00

Machine Learning @ CUED

Hierarchical Multi-Agent Reinforcement Learning through Communicative Actions for Human-Robot Collaboration

Elena Corina Grigore (Yale University).

CBL Room BE-438, Department of Engineering.

Wednesday 14 December 2016, 15:00-16:00

Machine Learning @ CUED

Variational autoencoders with latent graphical models

Prof David Duvenaud (University of Toronto).

CBL Room BE-438, Department of Engineering.

Tuesday 13 December 2016, 11:00-12:00

Machine Learning @ CUED

Learning with limited supervision

Stefano Ermon, Stanford.

CBL Room BE-438.

Thursday 01 December 2016, 11:00-12:00

Machine Learning @ CUED

A tale of P-matrices and TripleSpinners - the unreasonable effectiveness of structured models in nonlinear embeddings

Krzysztof Choromanski, Google NY.

CBL Room BE-438.

Thursday 24 November 2016, 11:00-12:00

Machine Learning @ CUED

Rejection Sampling Variational Inference

Francisco J. R. Ruiz (Columbia University & University of Cambridge).

CBL Room BE-438.

Tuesday 22 November 2016, 11:30-12:30

Machine Learning @ CUED

Probabilistic Numerical Computation: A New Concept?

Prof. Mark Girolami (University of Warwick).

CBL Room BE-438, Department of Engineering.

Thursday 17 November 2016, 11:00-12:00

Machine Learning @ CUED

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

Prof. Jeff Clune (U Wyoming).

Dyson Meeting Room on the Ground Floor.

Monday 07 November 2016, 11:00-12:00

Machine Learning @ CUED

Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models

Tomoharu Iwata - Learning and Intelligent Systems Research Group of NTT Communication Science Laboratories, Kyoto, Japan.

CBL Room BE-438.

Thursday 03 November 2016, 11:00-12:00

Machine Learning @ CUED

Robots learning on the move: deep learning from lots of demonstration

Dushyant Rao, Oxford Robotics Institute.

CBL Room BE-438.

Wednesday 02 November 2016, 11:00-12:00

Machine Learning @ CUED

Probabilistic modeling for position and orientation estimation using inertial sensors

Manon Kok, Department of Electrical Engineering, Linköping University.

CBL Room BE-438.

Thursday 20 October 2016, 10:00-11:00

Machine Learning @ CUED

Moment matching for latent variable models: from ICA to LDA and CCA

Professor Francis Bach (INRIA, ENS).

CBL Room BE-438.

Thursday 06 October 2016, 11:00-12:00

Machine Learning @ CUED

Multiresolution Matrix Factorization

Prof Risi Kondor (U Chicago).

CBL Room BE-438.

Tuesday 13 September 2016, 11:00-12:00

Machine Learning @ CUED

Dynamic Models for Health Data

Professor Katherine A Heller (Duke University).

CBL Room BE-438.

Monday 12 September 2016, 11:00-12:00

Machine Learning @ CUED

Learning with Memory Embeddings

Professor Volker Tresp (Ludwig Maximilian University of Munich).

Engineering Department, CBL Room BE-438.

Thursday 08 September 2016, 11:00-12:00

Machine Learning @ CUED

Data Driven Discrete Time Modeling of Continuous Time Nonlinear Systems: Problems, Challenges, Success Stories

Johan Schoukens, Vrije Universiteit Brussel.

CBL Room BE-438.

Friday 02 September 2016, 11:00-12:00

Machine Learning @ CUED

Inference as Learning

George Papamakarios (University of Edinburgh).

CBL Room BE-438.

Monday 08 August 2016, 11:00-12:00

Machine Learning @ CUED

Interpretable and interactive machine learning

Dr Been Kim.

CBL Room BE-438.

Friday 29 July 2016, 11:00-12:00

Machine Learning @ CUED

Discriminative Embeddings of Latent Variable Models for Structured Data

Prof Le Song (Georgia Tech).

Engineering Department, CBL Room BE-438.

Monday 25 July 2016, 11:00-12:00

Machine Learning @ CUED

Structured Dynamic Graphical Models & Scaling Multivariate Time Series Methodology

Professor Mike West (Statistical Science, Duke University).

James Dyson Building Meeting Room on the Ground Floor.

Thursday 21 July 2016, 11:00-12:00

Machine Learning @ CUED

Scaling and Generalizing Approximate Bayesian Inference

Prof. David Blei (Columbia University).

James Dyson Building Meeting Room on the Ground Floor.

Tuesday 12 July 2016, 11:00-12:00

arg58's list

A modular architecture for Unicode text compression

Adam Gleave (University of Cambridge).

Cambridge University Engineering Department, CBL Seminar room BE4-38.

Tuesday 14 June 2016, 15:00-15:15

Machine Learning @ CUED

Learning Task Relations in Multi-Task Learning

Via Skype

Yu Zhang (Hong Kong University of Science and Technology).

Engineering Department, CBL Room BE-438.

Tuesday 14 June 2016, 11:00-12:00

Machine Learning @ CUED

Distributed stochastic optimization for deep learning

Via Skype

Sixin Zhang (NYU).

Engineering Department, CBL Room BE-438.

Tuesday 14 June 2016, 10:00-11:00

Machine Learning @ CUED

Modeling the Dynamics of Online Learning Activity

Isabel Valera .

Engineering Department, CBL Room BE-438.

Thursday 09 June 2016, 11:00-12:00

Machine Learning @ CUED

Developments in Exact Inference in Graphical Models

Stephen Pasteris (UCL).

Engineering Department, CBL Room BE-438.

Tuesday 07 June 2016, 10:30-11:30

Machine Learning @ CUED

Approximation strategies for structure learning in Bayesian networks

Note: via Skype!

Teppo Niinimäki (Helsinki).

Engineering Department, CBL Room BE-438.

Tuesday 07 June 2016, 09:30-10:30

Machine Learning @ CUED

Automated Reasoning and AI for Large Formal Mathematics

Josef Urban.

William Gates Building - FW26.

Friday 03 June 2016, 14:00-15:00

Machine Learning @ CUED

Variational inference for scalable Gaussian process approximations

Alexander Matthews (University of Cambridge).

Engineering Department, CBL Room BE-438.

Thursday 02 June 2016, 11:30-12:30

Machine Learning @ CUED

Novel MCMC and SMC schemes for Poisson-Kingman Bayesian Nonparametric mixture models

Maria Lomeli (University of Cambridge).

Engineering Department, CBL Room BE-438.

Thursday 02 June 2016, 10:30-11:30

Machine Learning @ CUED

Turing: Rejuvenating Probabilistic Programming in Julia

Hong Ge (University of Cambridge).

Engineering Department, CBL Room BE-438.

Thursday 02 June 2016, 09:30-10:30

Machine Learning @ CUED

Towards Weaker Supervision and Simpler Pipelines in Speech Recognition

Gabriel Synnaeve.

Engineering Department, CBL Room BE-438.

Friday 27 May 2016, 11:00-12:00

Machine Learning @ CUED

Sum-Product Networks for Probabilistic Modeling

Robert Peharz (TU Graz).

Engineering Department, CBL Room BE-438.

Tuesday 24 May 2016, 14:00-15:00

Machine Learning @ CUED

MLE-Struct: Bethe Learning of Graphical Models

Kui Tang, Columbia University.

Engineering Department, CBL Room BE-438.

Friday 13 May 2016, 11:00-12:00

Machine Learning @ CUED

Inference and Learning in the Anglican Probabilistic Programming System

Jan-Willem van de Meent (Oxford).

Engineering Department, CBL Room BE-438.

Tuesday 05 April 2016, 11:00-12:00

Machine Learning @ CUED

Unsupervised Risk Estimation with only Structural Assumptions

Jacob Steinhardt (Stanford University).

Engineering Department, CBL Room BE-438.

Wednesday 16 March 2016, 14:00-15:00

Machine Learning @ CUED

The geometry of uncertainty

Fabio Cuzzolin, Head of AI and vision, Oxford Brookes University.

Engineering Department, Boardroom on the 2nd floor (past canteen on the left).

Wednesday 09 March 2016, 14:00-15:00

Machine Learning @ CUED

A more Automated Statistician

David Janz, Oxford University.

Engineering Department, CBL Room BE-438.

Friday 19 February 2016, 11:30-12:00

Machine Learning @ CUED

General Reinforcement Learning

Jan Leike (Australian National University).

Engineering Department, CBL Room BE-438.

Wednesday 16 December 2015, 11:00-12:00

Machine Learning @ CUED

Inference of a partially observed kinetic Ising model

Dr Yasser Roudi (Kavli Inst, Trondheim & Inst for Advanced Study, Princeton).

Engineering Department, CBL Room BE-438.

Wednesday 11 November 2015, 12:00-13:00

Machine Learning @ CUED

Meta-Bayesian Analysis

Prof. Daniel Roy (University of Toronto).

Engineering Department, CBL Room BE-438.

Thursday 15 October 2015, 11:00-12:00

Machine Learning @ CUED

Efficient Inference and Learning with Intractable Posteriors? Yes, Please.

Diederik P. Kingma (University of Amsterdam).

Engineering Department, CBL Room BE-438.

Wednesday 14 October 2015, 11:00-12:00

Machine Learning @ CUED

Efficient multi-task Gaussian process models for genome-wide association studies

Francesco Paolo Casale, European Bioinformatics Institute.

Engineering Department, CBL Room BE-438.

Friday 25 September 2015, 11:00-12:00

Machine Learning @ CUED

Harmonic Exponential Families and Group-Equivariant Convolution Networks

Taco Cohen (University of Amsterdam).

Engineering Department, CBL Room BE-438.

Wednesday 16 September 2015, 11:00-12:00

Machine Learning @ CUED

Higher Order Fused Regularization for Supervised Learning with Grouped Parameters

Koh Takeuchi (NTT Communication Science Laboratories).

Engineering Department, CBL Room BE-438.

Tuesday 15 September 2015, 10:30-11:30

Machine Learning @ CUED

A-Star Sampling Review

Chris Maddison (U Toronto).

Engineering Department, CBL Room BE-438.

Monday 14 September 2015, 12:00-13:00

Machine Learning @ CUED

Convex Factorization Machines

Mathieu Blondel (NTT Communication Science Laboratorie).

Engineering Department, CBL Room BE-438.

Monday 14 September 2015, 11:00-12:00

Machine Learning @ CUED

Belief and Truth in Hypothesised Behaviours

Stefano V. Albrecht - School of Informatics at The University of Edinburgh.

Engineering Department, CBL Room BE-438.

Thursday 10 September 2015, 11:00-12:00

Machine Learning @ CUED

Training and Understanding Deep Neural Networks for Robotics, Design, and Perception

Jason Yosinski (Cornell).

Engineering Department, CBL Room BE-438.

Wednesday 09 September 2015, 11:00-12:00

Machine Learning @ CUED

Information-Theoretic Bounded Rationality

Pedro A. Ortega (University of Pennsylvania).

Engineering Department, CBL Room BE-438.

Monday 07 September 2015, 11:00-12:00

Machine Learning @ CUED

The limits of MAP inference by MWSS on perfect graphs

Dr Adrian Weller (MLG, University of Cambridge).

Engineering Department, CBL Room BE-438.

Thursday 27 August 2015, 15:00-15:30

Machine Learning @ CUED

Scalable Gaussian Processes for Scientific Discovery

Dr Andrew Wilson, Carnegie Mellon University.

Engineering Department, CBL Room BE-438.

Wednesday 29 July 2015, 11:00-12:00

Machine Learning @ CUED

MCMC for non-linear state space models using ensembles of latent sequences

(via Skype!)

Alex Shestopaloff (University of Toronto).

Engineering Department, CBL Room BE-438.

Monday 27 July 2015, 15:00-16:00

Machine Learning @ CUED

Gradient-based hyperparameter optimization through reversible learning

Dr David Duvenaud (Harvard).

Engineering Department, CBL Room BE-438.

Monday 20 July 2015, 11:00-12:00

Machine Learning @ CUED

Rich Component Analysis

James Zou (Microsoft Research New England).

Engineering Department, CBL Room BE-438.

Friday 17 July 2015, 11:00-12:00

Machine Learning @ CUED

A new MCMC hybrid scheme for Poisson-Kingman Bayesian Nonparametric mixture models

Maria Lomeli-Garcia, UCL.

Engineering Department, CBL Room BE-438.

Thursday 16 July 2015, 11:00-12:00

Machine Learning @ CUED

Modeling Confounding by Half-Sibling Regression

SHORT TALK (20 minutes)

Prof Bernhard Schölkopf (MPI Tuebingen).

Engineering Department, CBL Room BE-438.

Friday 03 July 2015, 12:30-13:00

Machine Learning @ CUED

Extreme Classification: A New Paradigm for Ranking & Recommendation

Manik Varma (Microsoft Research India).

Engineering Department, CBL Room BE-438.

Thursday 02 July 2015, 11:00-12:00

Machine Learning @ CUED

Convex and non-convex worlds in machine learning

Anna Choromanska (New York University).

Engineering Department, CBL Room BE-438.

Wednesday 01 July 2015, 11:00-12:00

Machine Learning @ CUED

Random Function Classes for Machine Learning

Prof Alexander Smola, Carnegie Mellon University.

Cambridge University Engineering Department, LT1.

Tuesday 30 June 2015, 11:00-12:00

Machine Learning @ CUED

Explaining Non-Linear Classifier Decisions with application to Deep Learning

Prof Klaus-Robert Müller (TU Berlin).

Engineering Department, CBL Room BE-438.

Monday 29 June 2015, 15:00-16:00

Machine Learning @ CUED

Deep Gaussian processes and variational propagation of uncertainty

Andreas Damianou - Sheffield University.

Engineering Department, CBL Room BE-438.

Monday 29 June 2015, 11:00-12:00

Machine Learning @ CUED

Deep Learning

Professor Geoffrey Hinton FRS (U. Toronto and Google).

Cambridge University Engineering Department, Lecture Theatre 0.

Thursday 25 June 2015, 11:00-12:00

Machine Learning @ CUED

Random Function Classes for Machine Learning

Prof. Alex Smola (CMU).

Cambridge University Engineering Department, LT1.

Wednesday 24 June 2015, 11:00-12:00

Machine Learning @ CUED

Unsupervised Learning with Latent Variable Models

Zhenwen Dai.

Engineering Department, CBL Room BE-438.

Thursday 18 June 2015, 11:00-12:00

Machine Learning @ CUED

Unsupervised Learning with Latent Variable Models

Zhenwen Dai.

Engineering Department, CBL Room BE-438.

Tuesday 16 June 2015, 11:00-12:00

Machine Learning @ CUED

Structural Markov laws / Geometry and HMC

Dr Simon Byrne.

Engineering Department, CBL Room BE-438.

Tuesday 09 June 2015, 11:00-12:00

Machine Learning @ CUED

Mean Field Approaches to Two Sequential Decision Making Problems.

This talk will be given via Skype

Ramki Gummadi.

Engineering Department, CBL Room BE-438 - Skype.

Monday 08 June 2015, 17:00-18:00

Machine Learning @ CUED

Do Deep Nets Really Need to be Deep?

Dr Rich Caruana (Microsoft).

Engineering Department, CBL Room BE-438.

Tuesday 02 June 2015, 11:00-12:00

Machine Learning @ CUED

Probabilistic numerics: treating numerical computation as learning, or; it's Bayes all the way down

Michael Osborne (Oxford University).

Engineering Department, LR5 (Baker Building, Trumpington Street).

Tuesday 12 May 2015, 11:00-12:00

Machine Learning @ CUED

Direction-Only Optimisation for Neural Networks

Short talk

Mark Rowland (Cambridge).

Engineering Department, CBL Room BE-438.

Wednesday 06 May 2015, 11:00-11:30

Machine Learning @ CUED

Machine Learning for Quantitative Finance: A collaboration between the Cambridge Machine Learning Group and Cambridge Capital Management

Creighton Heaukulani, Matt Hoffman, Zoubin Ghahramani, and Andrew Baxter, .

Cambridge University Engineering Department, Lecture Room 5.

Thursday 30 April 2015, 11:00-12:00

Cambridge Society for the Application of Research (CSAR)

New Developments in Machine Intelligence

This talk will be preceeded by a short presentation from Laura Burzynski on her research into blood clotting proteins

Prof. Chris Bishop, Microsoft Research, Cambridge.

Wolfson Lecture Theatre, Churchill College, Storey's Way, Cambridge.

Monday 27 April 2015, 19:30-21:00

Rouse Ball Lectures

Mathematics of Crime

Andrea Bertozzi, UCLA.

Room 3, Mill Lane Lecture Rooms, 8 Mill Lane, Cambridge.

Friday 24 April 2015, 12:00-13:00

Machine Learning @ CUED

Title to be confirmed

Tuan Anh Le (Oxford).

Engineering Department, CBL Room BE-438.

Thursday 23 April 2015, 11:00-12:00

Machine Learning @ CUED

Inference for infinite mixture models and Gaussian Process mixtures of experts using simple approximate MAP Inference

Alexis Boukouvalas (Aston University).

Engineering Department, CBL Room BE-438.

Wednesday 15 April 2015, 11:00-12:00

Machine Learning @ CUED

Evolutionary dynamics in a continuous public goods game

Matthias Bauer .

Engineering Department, CBL Room BE-438.

Thursday 19 March 2015, 11:00-12:00

Microsoft Research Cambridge, public talks

Social Media Predictive Analytics: Methods and 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

Svitlana Volkova, Johns Hopkins University.

Small Lecture Theatre, Microsoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

Tuesday 17 March 2015, 10:00-11:00

Machine Learning @ CUED

An introduction to the Mondrian Process

Matej Balog (Oxford).

Engineering Department, CBL Room BE-438.

Thursday 12 March 2015, 11:00-12:00

Machine Learning @ CUED

Population Inference for Functional Brain Connectivity

Genevera I. Allen (Rice University).

Engineering Department, CBL Room BE-438.

Wednesday 04 March 2015, 11:00-12:00

Machine Learning @ CUED

Probabilistic approaches to understanding bird conversations

Dan Stowell (Queen Mary University of London).

Engineering Department, CBL Room BE-438.

Monday 02 March 2015, 11:00-12:00

Machine Learning @ CUED

A* Sampling

Chris Maddison (U Toronto).

Engineering Department, CBL Room BE-438..

Tuesday 24 February 2015, 11:00-12:00

Machine Learning @ CUED

Orthologous networks in biological systems

Dr Christopher Penfold (Warwick).

Engineering Department, CBL Room BE-438..

Wednesday 11 February 2015, 11:00-12:00

Machine Learning @ CUED

Latent Branching Trees

Dr Theodore Kypraios (University of Nottingham).

Engineering Department, CBL Room BE-438..

Thursday 29 January 2015, 12:00-13:00

Machine Learning @ CUED

Experiments with Non-parametric Topic Models

Prof. Wray Buntine (Monash University).

Engineering Department, CBL Room BE-438..

Friday 23 January 2015, 11:00-12:00

Machine Learning @ CUED

The Blended Paradigm: A Bayesian Approach to Handling Outliers and Misspecified Models

Prof. Steven MacEachern (Ohio State University).

Engineering Department, CBL Room BE-438..

Monday 15 December 2014, 10:00-11:00

Machine Learning @ CUED

Machine Translation with LSTMs

Room changed to LR3B in Inglis building and time changed to 10:30

Ilya Sutskever (Google).

Engineering Department, LR3B.

Friday 28 November 2014, 10:30-11:30

Machine Learning @ CUED

Oracle Variational Inference

James McInerney (Columbia University).

Engineering Department, CBL Room BE-438..

Wednesday 26 November 2014, 11:00-12:00

Machine Learning @ CUED

Bayesian modeling for high-level real nursing activity recognition using accelerometers

short talk

Prof. Naonori Ueda (Director Machine Learning and Data Science, NTT Labs).

Engineering Department, CBL Room BE-438..

Friday 14 November 2014, 11:00-11:30

Machine Learning @ CUED

A Tutorial on Probabilistic Programming

Prof. Frank Wood (Oxford).

Engineering Department, CBL Room BE-438.

Thursday 23 October 2014, 14:00-17:00

CUED Control Group Seminars

Optimal control and optimal sampling: A statistical physics perspective.

Bert Kappen, Radboud University Nijmegen, and UCL London.

Cambridge University Engineering Department, LR12.

Tuesday 21 October 2014, 14:30-15:30

Machine Learning @ CUED

New Methods in Bayesian Optimization for Machine Learning

Jasper Snoek (Harvard University).

Engineering Department, CBL Room BE-438.

Thursday 25 September 2014, 11:00-12:00

Machine Learning @ CUED

A marginal sampler for σ-Stable Poisson-Kingman mixture models

Maria Lomeli-Garcia (Gatsby Unit, UCL).

Engineering Department, CBL Room BE-438..

Wednesday 24 September 2014, 11:00-12:00

Machine Learning @ CUED

Local Deep Kernel Learning for Efficient Non-linear SVM Prediction

Manik Varma (Microsoft Research India).

Engineering Department, CBL Room BE-438.

Wednesday 17 September 2014, 11:00-12:00

Machine Learning @ CUED

Unsupervised Many-to-many Object Matching

Dr Tomoharu Iwata (NTT).

Engineering Department, CBL Room BE-438.

Friday 12 September 2014, 11:00-12:00

Machine Learning @ CUED

Probabilistic Numerics - a snapshot of an emerging community

Philipp Hennig (Max Planck Institute for Intelligent Systems, Tübingen).

Engineering Department, CBL Room BE-438.

Thursday 11 September 2014, 11:00-12:00

Machine Learning @ CUED

On the Bethe approximation

Adrian Weller (Columbia University).

Engineering Department, CBL Room BE-438..

Monday 11 August 2014, 11:00-12:00

Machine Learning @ CUED

Gaussian process regression on graphs

Peter Sollich (King's College London).

Engineering Department, CBL Room BE-438..

Wednesday 16 July 2014, 11:00-12:00

Machine Learning @ CUED

Implicit Representation Networks

David Barber (University College London).

Engineering Department, CBL Room BE-438..

Wednesday 02 July 2014, 11:00-12:00

Machine Learning @ CUED

Scalable Deep Gaussian Processes

James Hensman (University of Sheffield).

Engineering Department, CBL Room BE-438..

Tuesday 01 July 2014, 11:00-12:00

Machine Learning @ CUED

Active Learning of Linear Embeddings for Gaussian Processes

Roman Garnett, University of Bonn.

Engineering Department, CBL Room BE-438..

Tuesday 10 June 2014, 11:00-12:00

Machine Learning @ CUED

Bayesian monitoring for the Comprehensive Nuclear-Test-Ban Treaty

Professor Stuart Russell (UC Berkeley).

Engineering Department, CBL Room BE-438..

Tuesday 03 June 2014, 11:00-12:00

Machine Learning @ CUED

Unifying logic and probability: A "New Dawn" for Artificial Intelligence?

NOTE THE SPECIAL VENUE (Microsoft Research)

Professor Stuart Russell (UC Berkeley).

Auditorium, Microsoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

Monday 02 June 2014, 11:00-12:00

Machine Learning @ CUED

Practical Machine Learning at Facebook. Examples and Lessons Learnt.

Room changed to LR4

Joaquin Quinonero Candela (Facebook).

Engineering Department - ***LR4***.

Tuesday 20 May 2014, 11:00-12:00

Machine Learning @ CUED

Bayesian inference for integer-valued Lévy processes with Non-Gaussian Ornstein-Uhlenbeck volatility modelling

short talk (30 mins) - NOTE TIME CHANGE

Andrea Cremaschi (Kent).

Engineering Department, CBL Room BE-438.

Friday 16 May 2014, 10:30-11:30

Machine Learning @ CUED

Density Estimation in Infinite Dimensional Exponential Families

Bharath Sriperumbudur (University of Cambridge).

Engineering Department, CBL Room BE-438.

Wednesday 14 May 2014, 11:00-12:30

Machine Learning @ CUED

Stable Poisson-Kingman species sampling priors generated by general ordered size biased generalized gamma mixing distributions

Prof. Lancelot James (HKUST).

Engineering Department, CBL Room BE-438.

Thursday 08 May 2014, 11:00-12:30

Machine Learning @ CUED

Probabilistic computing applications: BayesDB and stochastic digital circuits

Vikash K. Mansinghka (MIT).

Engineering Department, CBL Room BE-438.

Friday 04 April 2014, 11:00-12:00

Machine Learning @ CUED

Probabilistic computing for Bayesian inference

Vikash K. Mansinghka (MIT).

Engineering Department, CBL Room BE-438.

Wednesday 02 April 2014, 13:30-14:30

Machine Learning @ CUED

Machine Learning and Order Book Dynamics

Tristan Fletcher .

Engineering Department, CBL Room BE-438.

Wednesday 02 April 2014, 11:00-12:00

Machine Learning @ CUED

Policy Evaluation with Temporal Differences

Christoph Dann (Technische Universität Darmstadt).

Engineering Department, CBL Room BE-438.

Friday 28 March 2014, 11:00-12:00

Machine Learning @ CUED

Matrix Means, Distances, Kernels, and Geometric Optimization

Suvrit Sra (Max-Planck Institute for Intelligent Systems and CMU).

Engineering Department, CBL Room BE-438.

Monday 17 March 2014, 11:30-12:30

Statistics

Alpha-Stable Poisson-Kingman Processes: Some Applications and Methodologies

Yee Whye Teh, University of Oxford.

MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge.

Friday 14 March 2014, 16:00-17:00

Machine Learning @ CUED

Learning to Learn for Structured Sparsity

Nino Shervashidze (INRIA).

Engineering Department, CBL Room BE-438.

Tuesday 11 March 2014, 11:00-12:00

Machine Learning @ CUED

Bayesian nonparametric dynamic-clustering and genetic imputation

Lloyd Elliott (Gatsby Unit, UCL / Oxford).

Engineering Department, CBL Room BE-438.

Tuesday 04 March 2014, 11:00-12:00

Machine Learning @ CUED

Parameter estimation in deep learning architectures: Two new insights.

Note: time is 12 noon (*not* 11am)

Prof. Nando de Freitas (Oxford).

Cambridge University Engineering Department, LR6.

Friday 28 February 2014, 12:00-13:00

Machine Learning @ CUED

Bayesian canonical correlation analysis

Seppo Virtanen (Aalto University).

Engineering Department, CBL Room BE-438.

Friday 28 February 2014, 11:00-12:00

Machine Learning @ CUED

Cambridge - Tuebingen PhD Applicant Talks (via Skype)

Interview talks via Skype

Speaker to be confirmed.

Engineering Department, CBL Room BE-438.

Tuesday 25 February 2014, 09:00-16:00

Machine Learning @ CUED

Generative probabilistic programming: applications and new ideas

Yura Perov (Oxford).

Engineering Department, CBL Room BE-438.

Monday 24 February 2014, 11:00-12:00

Machine Learning @ CUED

Particle filters and curse of dimensionality

Note: TALK via Skype!

Patrick Rebeschini (Princeton).

Engineering Department, CBL Room BE-438.

Friday 21 February 2014, 14:00-15:00

Machine Learning @ CUED

Bayesian nonparametrics: Dependency and Constraint Modeling

Note: TALK via Skype!

Changyou Chen (ANU).

Engineering Department, CBL Room BE-438.

Thursday 20 February 2014, 10:00-11:00

Machine Learning @ CUED

Bayesian Nonparametric Model for Power Disaggregation

Isabel Valera (University Carlos III in Madrid).

Engineering Department, CBL Room BE-438.

Monday 17 February 2014, 11:00-12:00

Machine Learning @ CUED

Probabilistic machine learning for knowledge extraction from videos and text

Note venue: LR6

Kevin Murphy (Google).

Cambridge University Engineering Department, LR6.

Wednesday 12 February 2014, 11:00-12:00

Machine Learning @ CUED

Frequentist coverage of adaptive nonparametric Bayesian credible sets

Botond Szabo (Eindhoven University of Technology).

Engineering Department, CBL Room BE-438.

Monday 03 February 2014, 11:00-12:00

Machine Learning @ CUED

Anglican; Particle MCMC inference for Probabilistic Programs

Jan-Willem van de Meent (Columbia University).

Engineering Department, CBL Room BE-438.

Wednesday 15 January 2014, 11:00-12:00

Machine Learning @ CUED

Sparse discriminative latent characteristics for predicting cancer drug sensitivity

David Knowles (Stanford University).

Engineering Department, CBL Room BE-438.

Friday 10 January 2014, 11:00-12:00

Machine Learning @ CUED

Contrastive Learning Using Spectral Methods

James Zou (Harvard).

Engineering Department, CBL Room BE-438.

Wednesday 06 November 2013, 13:30-14:30

Machine Learning @ CUED

Nonparametric Bayesian statistics with exchangeable random structures

Daniel Roy.

Engineering Department, CBL Room BE-438.

Friday 11 October 2013, 12:00-15:00

Machine Learning @ CUED

Dissecting genotype to phenotype relationships

Oliver Stegle (EMBL-European Bioinformatics Institute).

Engineering Department, CBL Room BE-438.

Thursday 10 October 2013, 11:00-12:00

Machine Learning @ CUED

CANCELLED: Local Deep Kernel Learning for Efficient Non-linear SVM Prediction

CANCELLED

Manik Varma (Microsoft Research India).

Engineering Department, CBL Room BE-438.

Friday 27 September 2013, 11:00-12:00

Machine Learning @ CUED

Clustering Based on Predictive Variances in Gaussian Process Regression Models

Dr Hyun-Chul Kim .

Engineering Department, CBL Room BE-438.

Friday 13 September 2013, 11:00-12:00

Machine Learning @ CUED

Non-Parametric Conditional Random Fields in Computer Vision and Image Processing

Jeremy Jancsary (Microsoft Research Cambridge).

Engineering Department, CBL Room BE-438.

Thursday 08 August 2013, 11:00-12:00

Machine Learning @ CUED

Higher Order Learning for Classification in Emergency Situations

Hannah Pauline Keiler (Columbia University and DIMACS).

Engineering Department, CBL Room BE-438.

Tuesday 06 August 2013, 11:00-12:00

Machine Learning @ CUED

Annealing Between Distributions by Averaging Moments

Chris Maddison (U Toronto).

Engineering Department, CBL Room BE-438.

Friday 02 August 2013, 11:00-12:00

NLIP Seminar Series

Recursive Deep Learning for Modeling Semantic Compositionality

Richard Socher - Stanford University.

FW26, Computer Laboratory.

Wednesday 31 July 2013, 14:00-15:00

Machine Learning @ CUED

Applied statistical genetics and next-generation association studies

Dr. Eleftheria Zeggini and Dr Ioanna Tachmazidou (Sanger Institute).

Engineering Department, CBL Room BE-438.

Monday 01 July 2013, 11:00-12:00

Machine Learning @ CUED

Applied statistical genetics and next-generation association studies

Dr. Eleftheria Zeggini and Dr Ioanna Tachmazidou (Sanger Institute).

Engineering Department, CBL Room BE-438.

Monday 01 July 2013, 11:00-12:00

Machine Learning @ CUED

The combinatorial structure of conditionally i.i.d. negative binomial processes directed by a beta process

Creighton Heaukulani (University of Cambridge).

Engineering Department, CBL Room BE-438.

Thursday 06 June 2013, 13:00-13:30

jg691's list

Google's Approach to Building Relationships with Universities: Presentation and Talk by Dr David J Harper

Dr David J Harper .

LR12, Baker Building, Department of Engineering (Trumpington Street, Cambridge CB2 1PZ).

Wednesday 22 May 2013, 10:20-11:20

Machine Learning @ CUED

Matrix Concentration Inequalities via the Method of Exchangeable Pairs

Professor Michael I Jordan (UC Berkeley).

Cambridge University Engineering Department, Lecture Room 1.

Thursday 09 May 2013, 16:00-17:00

Machine Learning @ CUED

Deep Gaussian Processes

Prof. Neil Lawrence (Sheffield).

Engineering Department, CBL Room BE-438.

Wednesday 01 May 2013, 15:00-16:00

Machine Learning @ CUED

Approaches to statistical modeling of network data

Maxim Nazarov (Bocconi University).

Engineering Department, CBL Room BE-438.

Tuesday 30 April 2013, 11:00-12:00

Machine Learning @ CUED

Bayesian nonparametric methods for non-exchangeable data

Nick Foti (Dartmouth College).

Engineering Department, CBL Room BE-438.

Monday 15 April 2013, 11:00-12:00

Machine Learning @ CUED

Non-parametric Bayesian Chromatin State Segmentation

Will Allen (University of Cambridge and MRC-LMB).

Engineering Department, CBL Room BE-438.

Monday 08 April 2013, 11:00-12:00

Machine Learning @ CUED

Fast Variational Inference in the Conjugate Exponential Family

James Hensman, The Sheffield Institute for Translational Neuroscience.

Engineering Department, CBL Room BE-438.

Monday 25 March 2013, 11:00-12:00

Machine Learning @ CUED

An application of HDP And IBP for stream-based action recognition and high dimensional data

Ava Bargi : University of Technology, Sydney.

Engineering Department, CBL Room BE-438.

Monday 11 March 2013, 11:30-12:00

Machine Learning @ CUED

Using Context and Insight for the Analysis of LittleData?

Philipp Moritz (U Cambridge).

Engineering Department, CBL Room BE-438.

Friday 08 March 2013, 11:00-11:30

Machine Learning @ CUED

Feature allocations, probability functions, and paintboxes

Tamara Broderick (UC Berkeley).

Engineering Department, CBL Room BE-438.

Wednesday 27 February 2013, 11:30-12:30

Machine Learning @ CUED

Modelling Reciprocating Relationships with Hawkes Processes

Charles Blundell (Gatsby Unit, UCL).

Engineering Department, CBL Room BE-438.

Friday 22 February 2013, 11:00-12:00

Machine Learning @ CUED

Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables

Nevena Lazic (Microsoft Research Cambridge).

Engineering Department, CBL Room BE-438.

Wednesday 30 January 2013, 11:00-12:00

Machine Learning @ CUED

The combinatorial structure underlying a beta processes is that of a continuum of Blackwell-MacQueen urn schemes

Dr Daniel Roy (University of Cambridge).

Engineering Department, CBL Room BE-438.

Tuesday 20 November 2012, 13:00-14:30

Machine Learning @ CUED

Learning of Milky Way Model Parameters Using Matrix-variate Data in a New Gaussian Process-based Method

Dr Dalia Chakrabarty (University of Warwick).

Engineering Department, CBL Room BE-438.

Thursday 15 November 2012, 11:30-12:30

Machine Learning @ CUED

Identification of causal effects

Nevena Lazic.

Engineering Department, CBL Room BE-438.

Thursday 25 October 2012, 14:30-16:00

Machine Learning @ CUED

Probabilistic methods for biomolecular structure simulations

Jes Frellsen (University of Copenhagen).

Engineering Department, CBL Room BE-438.

Monday 22 October 2012, 11:00-12:00

Computer Laboratory Systems Research Group Seminar

Distributed, Real-Time Bayesian Learning in Online Services

Ralf Herbrich (Facebook).

LT1, Computer Laboratory, William Gates Builiding.

Tuesday 16 October 2012, 16:00-17:00

Machine Learning @ CUED

Compressed Sensing Applications in Functional Magnetic Resonance Imaging

Christine Law (Oxford University).

Engineering Department, CBL Room BE-438.

Wednesday 26 September 2012, 11:00-12:00

Microsoft Research Cambridge, public talks

Convergent and Scalable Algorithms for Expectation Propagation Approximate Bayesian Inference

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

Matthias Seeger, EPFL.

Small lecture theatre, Microsoft Research Ltd, 7 J J Thomson Avenue (Off Madingley Road), Cambridge.

Tuesday 25 September 2012, 15:00-16:00

Machine Learning @ CUED

Multi-Label Learning with Millions of Categories

Manik Varma (Microsoft Research India).

Engineering Department, CBL Room BE-438.

Monday 24 September 2012, 11:00-12:00

Machine Learning @ CUED

Efficient Sampling with Kernel Herding

Yutian Chen (University of California at Irvine) - talk given by videolink.

Engineering Department, CBL Room BE-438.

Wednesday 12 September 2012, 16:00-17:00

Machine Learning @ CUED

Frank-Wolfe optimization insights in machine learning

Simon Lacoste-Julien (INRIA, ENS, Paris).

Engineering Department, CBL Room BE-438.

Friday 24 August 2012, 11:00-12:00

Machine Learning @ CUED

Deep learning for vision: a case study for visual textures, and some thoughts on a general framework

Prof. Chris Williams ( School of Informatics, University of Edinburgh).

Engineering Department, CBL Room BE-438.

Wednesday 08 August 2012, 14:00-15:00

Machine Learning @ CUED

Thermodynamics as a Theory of Decision-Making with Information Processing Costs

Pedro Ortega (Max Planck Institute for Intelligent Systems).

Engineering Department, CBL Room BE-438.

Friday 03 August 2012, 14:00-15:00

Machine Learning @ CUED

Human Behavior Classification with Infinite Hidden Conditional Random Fields

Konstantinos Bousmalis and Stefanos Zafeiriou (Imperial College).

Engineering Department, CBL Room BE-438.

Friday 27 July 2012, 11:00-12:00

Machine Learning @ CUED

Fast Gaussian process learning for regression, semi-supervised classification, and multiway analysis

Prof Alan Qi (Purdue U).

Engineering Department, CBL Room BE-438.

Wednesday 04 July 2012, 14:00-15:00

Machine Learning @ CUED

Non-parametric Bayesian Learning of User Preferences: Elicitation, Sparsification and Beyond

Edwin Bonilla (NICTA/ANU).

Engineering Department, CBL Room BE-438.

Wednesday 04 July 2012, 11:00-12:00

Machine Learning @ CUED

Structured Prediction using Linear Programming Relaxations

David Sontag (NYU).

Engineering Department, CBL Room BE-438.

Tuesday 03 July 2012, 11:00-12:00

Machine Learning @ CUED

Discovery of Complex Behaviors through Contact-Invariant Optimization

Igor Mordatch (University of Washington).

Engineering Department, CBL Room BE-438.

Tuesday 19 June 2012, 11:00-12:00

Machine Learning @ CUED

Learning with nonparametric dependence and divergence estimation

Barnabas Poczos (Carnegie Mellon University).

Engineering Department, CBL Room BE-438.

Tuesday 08 May 2012, 11:00-12:00

Machine Learning @ CUED

Past work and future interests: respectively, the scattering of Anyons and Monte Carlo methods

Alexander Matthews.

Engineering Department, CBL Room BE-438.

Friday 04 May 2012, 11:15-12:00

Machine Learning @ CUED

Non-parametric Bayesian Method and Maximum-A-Posteriori Inference in Statistical Machine Translation

Tsuyoshi Okita (Dublin City University).

Engineering Department, CBL Room BE-438.

Wednesday 02 May 2012, 11:15-12:15

Machine Learning @ CUED

Infinite Structured Explicit Duration Hidden Markov Models

Jonathan Huggins (Columbia University).

Engineering Department, CBL Room BE-438.

Thursday 15 March 2012, 11:00-11:45

Machine Learning @ CUED

Probabilistic computing: computation as universal stochastic inference, not deterministic calculation

Vikash K. Mansinghka (MIT).

Engineering Department, CBL Room BE-438.

Thursday 23 February 2012, 12:30-13:30

Machine Learning @ CUED

Scaling Machine Learning for the Internet

Prof. Alexander Smola (Yahoo!).

Cambridge University Engineering Department, Lecture Room 4.

Wednesday 07 December 2011, 11:00-12:00

Machine Learning @ CUED

Bayesian Quadrature for Prediction and Optimisation

Michael Osborne ( Oxford University).

Engineering Department, CBL Room 438.

Monday 28 November 2011, 11:00-12:00

Machine Learning @ CUED

Efficient MCMC for Continuous Time Discrete State Systems

Vinayak Rao (UCL).

Engineering Department, CBL Room 438.

Wednesday 23 November 2011, 11:00-12:00

Machine Learning @ CUED

A Maximum Entropy Perspective on Spectral Dimensionality Reduction

Prof Neil Lawrence (Sheffield).

Engineering Department, CBL Room 438.

Wednesday 16 November 2011, 15:00-16:00

Machine Learning @ CUED

Variational Inference for Non-Conjugate Models

Dr Guillaume Bouchard (Xerox).

Engineering Department, CBL Room 438.

Wednesday 26 October 2011, 11:00-12:00

Machine Learning @ CUED

Not so naive Bayesian classification

Prof. Geoff Webb (Monash Univ).

Engineering Department, CBL Room 438.

Wednesday 12 October 2011, 11:00-12:00

Machine Learning @ CUED

Bayesian Nonparametrics: Latent Feature and Prediction Models, and Efficient Inference

Piyush Rai (University of Utah).

Engineering Department, CBL Room 438.

Tuesday 11 October 2011, 11:30-12:30

Machine Learning @ CUED

Machine Learning Markets

Dr Amos Storkey (Edinburgh).

Engineering Department, CBL Room 438.

Friday 07 October 2011, 11:00-12:00

Machine Learning @ CUED

Factored Shapes and Appearances for Parts-based Object Understanding AND Transformation Equivariant Boltzmann Machines

Chris Williams, School of Informatics, University of Edinburgh.

Engineering Department, CBL Room 438.

Tuesday 27 September 2011, 11:00-12:00

Machine Learning @ CUED

Optimal Reinforcement Learning for Gaussian Systems

Philipp Hennig, Max Planck Institute for Intelligent Systems, Department of Empirical Inference, Tübingen, Germany.

Engineering Department, CBL Room 438.

Monday 19 September 2011, 15:00-16:00

Machine Learning @ CUED

Exclusive Pólya Urns and their applications

Christian Steinruecken (University of Cambridge).

Engineering Department, CBL Room 438.

Friday 16 September 2011, 11:00-12:00

Machine Learning @ CUED

Approximate Bayesian Inference for Large Scale Inverse Problems: A Computational Viewpoint

Prof. Matthias Seeger (EPFL).

Engineering Department, CBL Room 438.

Thursday 28 July 2011, 11:30-12:30

Machine Learning @ CUED

Some Practical Reflections on Graphical Models

Dr Charles Sutton (University of Edinburgh).

Engineering Department, CBL Room 438.

Wednesday 13 July 2011, 11:00-12:00

Machine Learning @ CUED

Beyond Keyword Search: Discovering Relevant Scientific Literature

Khalid El-Arini (Carnegie Mellon University).

Engineering Department, CBL Room 438.

Monday 11 July 2011, 11:00-12:00

Machine Learning @ CUED

Graphical Models for Bandit Problems

Kareem Amin (University of Pennsylvania).

Engineering Department, CBL Room 438.

Monday 04 July 2011, 11:00-12:00

Machine Learning @ CUED

Bayesian regression and classification with multivariate sparsifying priors

Prof. Tom Heskes (Radboud University Nijmegen).

Engineering Department, CBL Room 438.

Tuesday 21 June 2011, 14:30-15:30

Machine Learning @ CUED

An FX trading system using adaptive reinforcement learning

(rescheduled from May 24th)

Professor Michael Dempster (Statistical Laboratory).

Engineering Department, CBL Room 438.

Tuesday 07 June 2011, 11:00-12:00

Machine Learning @ CUED

Censored Exploration in Dark Pools

Prof. Michael Kearns (University of Pennsylvania).

Engineering Department, CBL Room 438.

Friday 03 June 2011, 11:00-12:00

Machine Learning @ CUED

An FX trading system using adaptive reinforcement learning

RESCHEDULED FOR JUNE 7th

Professor Michael Dempster (Statistical Laboratory).

Engineering Department, CBL Room 438.

Tuesday 24 May 2011, 11:00-12:00

Machine Learning @ CUED

Characterization of the Ewens-Pitman family of random partitions by a deletion property and a de Finetti-type theorem for exchangeable hierarchies

Chris Haulk (UC Berkeley).

Engineering Department, CBL Room 438.

Monday 11 April 2011, 11:00-12:00

Machine Learning @ CUED

Nonlinear Dynamics of Learning

Prof. Max Welling (UC Irvine).

Engineering Department, CBL Room 438.

Monday 21 March 2011, 11:00-12:00

Machine Learning @ CUED

Exponential Conditional Volatility Models

Prof Andrew Harvey (Economics, Cambridge).

Engineering Department, CBL Room 438.

Tuesday 15 March 2011, 11:00-12:00

Machine Learning @ CUED

Challenges in implementing the Bayesian paradigm

Prof. Steve MacEachern (Ohio State).

Engineering Department, CBL Room 438.

Thursday 10 March 2011, 12:00-13:00

Machine Learning @ CUED

Expectation Propagation in Sparse Linear Models with Spike and Slab Priors

Dr José Miguel Hernández Lobato (Univ. Aut. Madrid).

Engineering Department, CBL Room 438.

Friday 04 March 2011, 11:30-12:30

Machine Learning @ CUED

Probabilistic matrix factorization for reconstruction of missing data

Dr Alexander Ilin (Aalto University).

Engineering Department, CBL Room 438.

Friday 04 March 2011, 10:30-11:30

Machine Learning @ CUED

Title to be confirmed

Yee Whye Teh (Gatsby Unit, UCL).

Engineering Department, CBL Room 438.

Friday 25 February 2011, 11:00-12:00

Machine Learning @ CUED

Differential Geometric MCMC Methods

Prof. Mark Girolami (UCL).

Engineering Department, CBL Room 438.

Tuesday 01 February 2011, 11:00-12:00

Machine Learning @ CUED

Mining viral datasets

Dr Simon Frost (University of Cambridge).

Engineering Department, CBL Room 438.

Tuesday 25 January 2011, 11:00-12:00

Machine Learning @ CUED

Universal Bayesian Agents: Theory and Applications

Prof. Marcus Hutter (ANU).

Engineering Department, CBL Room 438.

Tuesday 18 January 2011, 11:00-12:00

Machine Learning @ CUED

Machine learning in cancer research (a.k.a CRI meets CUED)

(note new date)

Dr Florian Markowetz (CRUK) - lab visit.

Engineering Department, CBL Room 438.

Monday 17 January 2011, 11:00-12:00

Machine Learning @ CUED

Novi Quadrianto

Novi Quadrianto, Australian National University.

Engineering Department, CBL Room 438.

Thursday 13 January 2011, 11:00-12:00

Machine Learning @ CUED

Learning item trees for collaborative filtering with implicit feedback

Dr Andriy Mnih (Gatsby Unit, UCL).

Engineering Department, CBL Room 438.

Tuesday 30 November 2010, 11:00-12:00

Machine Learning @ CUED

Non-Smooth-Norm Image Reconstruction from Noisy Data

Dr Paolo Emilio Barbano (DAMTP, University of Cambridge).

Engineering Department, CBL Room 438.

Friday 26 November 2010, 11:00-12:00

Machine Learning @ CUED

Crowdsourcing data modelling

Anthony Goldbloom (Kaggle).

Engineering Department, CBL Room 438.

Thursday 18 November 2010, 11:00-12:00

Machine Learning @ CUED

CANCELLED

CANCELLED

Dr Paolo Emilio Barbano (DAMTP).

Engineering Department, CBL Room 438.

Thursday 11 November 2010, 11:00-12:00

Machine Learning @ CUED

Short talks: Mixed Cumulative Distribution Networks; Nonparametric Bayesian community discovery in social networks; Expectation Propagation for Dirichlet Process Mixture Models

Charles Blundell, Lloyd Elliot and Vinayak Rao, Gatsby Unit, UCL.

Engineering Department, CBL Room 438.

Friday 05 November 2010, 13:30-15:00

Machine Learning @ CUED

Searching for Knowledge Instead of Web Pages

Gjergji Kasneci (Microsoft Research, Cambridge).

Engineering Department, CBL Room 438.

Thursday 30 September 2010, 11:00-12:00

Machine Learning @ CUED

Bayesian Inference with Kernels

Dr Arthur Gretton (UCL).

Engineering Department, CBL Room 438.

Monday 20 September 2010, 11:00-12:00

Machine Learning @ CUED

On the Equivalence of Graph Cuts and Max-product Belief Propagation

Danny Tarlow (University of Toronto).

Engineering Department, CBL Room 438.

Wednesday 25 August 2010, 14:00-15:00

Machine Learning @ CUED

Culture wars, voting and polarization: divisions and unities in modern American politics

general audience talk (non-technical) -- NOTE change of room to LR4!

Prof Andrew Gelman (Columbia University).

Engineering Department - LR4.

Thursday 29 July 2010, 16:30-17:30

Machine Learning @ CUED

Creating structured and flexible models: some open problems

Prof Andrew Gelman (Columbia University).

Engineering Department, CBL Room 438.

Wednesday 28 July 2010, 14:00-15:00

Machine Learning @ CUED

Efficient Bayesian analysis of multiple changepoint models

Prof Paul Fearnhead (Lancaster).

Engineering Department, CBL Room 438.

Monday 26 July 2010, 15:00-16:00

Machine Learning @ CUED

Learning Common Grammar from Multilingual Corpus / Online Multiscale Dynamic Topic Models

Dr. Tomoharu Iwata (NTT).

Engineering Department, CBL Room 438.

Wednesday 21 July 2010, 11:00-12:00

Machine Learning @ CUED

Scalable Parallel Computing with CUDA

James Balfour (NVIDIA).

Engineering Department, CBL Room 438.

Tuesday 20 July 2010, 14:00-15:00

Machine Learning @ CUED

Using transformed domains to sparsify Gaussian Processes

Dr Miguel Lázaro-Gredilla (Universidad Carlos III de Madrid).

Engineering Department, CBL Room 438.

Monday 12 July 2010, 11:30-12:30

Machine Learning @ CUED

Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design

Andreas Krause (Caltech).

Engineering Department, CBL Room 438.

Wednesday 07 July 2010, 11:00-12:00

Machine Learning @ CUED

Natural Conjugate Gradient Learning for Fixed-Form Variational Bayes

Dr Antti Honkela (Aalto University School of Science and Technology, Finland).

Engineering Department, CBL Room 438.

Wednesday 16 June 2010, 11:00-12:00

Machine Learning @ CUED

Sparse Factor Analysis Applied to Three Biological Problems

Barbara Engelhardt (University of Chicago).

Engineering Department, CBL Room 438.

Tuesday 15 June 2010, 11:00-12:00

Machine Learning @ CUED

Using topic models to help cure cancer

Prof Quaid Morris (Toronto).

Engineering Department, CBL Room 438.

Friday 11 June 2010, 14:00-15:00

Machine Learning @ CUED

Message Passing In Centralized Database

short talk

Konstantina Palla (Edinburgh).

Engineering Department, CBL Room 438.

Friday 11 June 2010, 11:00-11:30

Machine Learning @ CUED

Structured Prediction Cascades

Dr. Ben Taskar (University of Pennsylvania).

Engineering Department, CBL Room 438.

Thursday 10 June 2010, 11:30-12:30

Machine Learning @ CUED

Parametric Bandits, Query Learning, and the Haystack Dimension

Prof. Michael Kearns (University of Pennsylvania).

Engineering Department, CBL Room 438.

Wednesday 09 June 2010, 14:00-15:00

Machine Learning @ CUED

Slice sampling with latent Gaussian models

Dr Iain Murray (Toronto / Edinburgh).

Engineering Department, CBL Room 438.

Tuesday 16 March 2010, 11:00-12:00

Machine Learning @ CUED

Dynamic Network Tomography: Model, Algorithm, Theory, and Application

Prof. Eric Xing (CMU).

Engineering Department, CBL Room 438.

Thursday 11 March 2010, 14:00-15:00

Machine Learning @ CUED

Making Sense of Data - A Research Agenda

Prof Bob Williamson (ANU and Scientific Director of NICTA).

Cambridge University Engineering Department, Lecture Room 6.

Thursday 11 March 2010, 11:00-12:00

Machine Learning @ CUED

Recursive CRFs for Scalable Vision

short talk

David Duvenaud (UBC).

Engineering Department, CBL Room 438.

Wednesday 10 March 2010, 12:30-13:00

Machine Learning @ CUED

Subspace Codes for Adversarial Error-Correction in Network Coding

short talk

Azadeh Khaleghi (University of Toronto).

Engineering Department, CBL Room 438.

Wednesday 10 March 2010, 11:30-12:00

Computational and Biological Learning Seminar Series

Title to be confirmed

Short talk

Alex Davies (ANU).

Engineering Department, CBL Room 438.

Wednesday 10 March 2010, 11:00-11:30

Machine Learning @ CUED

Bayesian Inference in Networks of Queues

Dr Charles Sutton (Edinburgh).

Engineering Department, CBL Room 438.

Tuesday 09 March 2010, 11:00-12:00

Machine Learning @ CUED

Stochastic Outlier Selection

Jeroen Janssens (Tilburg University / University of Cambridge).

Engineering Department, CBL Room 438.

Monday 08 March 2010, 16:00-16:30

Machine Learning @ CUED

Mind Reading by Machine Learning: Optimal Experimental Design

Short talk

Neil Houlsby (CUED).

Engineering Department, CBL Room 438.

Tuesday 02 February 2010, 11:00-11:30

Machine Learning @ CUED

Machine Learning Course (4F13)

4F13 course - repeats Wed, Thurs at 10am during Lent

Zoubin Ghahramani and Carl Rasmussen (Cambridge).

Cambridge University Engineering Department, Lecture Room 12 (Trumpington Street).

Wednesday 20 January 2010, 10:00-11:00

Machine Learning @ CUED

CANCELLED: Learning Components for Human Sensing

CANCELLED

Dr Fernando de la Torre (CMU).

Engineering Department, CBL Room 438.

Tuesday 19 January 2010, 11:00-12:00

Machine Learning @ CUED

Visuospatial Reasoning

Short Talk

Stephanie Chan (MIT).

Engineering Department, CBL Room 438.

Monday 18 January 2010, 10:00-10:30

Machine Learning @ CUED

Machine Learning Course (4F13)

4F13 course - repeats Wed, Thurs at 10am during Lent

Zoubin Ghahramani and Carl Rasmussen (Cambridge).

Cambridge University Engineering Department, Lecture Room 12 (Trumpington Street).

Thursday 14 January 2010, 10:00-11:00

Machine Learning @ CUED

Optimal Tag Sets for Automatic Image Annotation

short talk

Sean Moran (Edinburgh).

Engineering Department, CBL Room 438.

Friday 04 December 2009, 11:00-12:00

dak33's list

Joint imputation and estimation of haplotype transition probabilities

Wolfgang Lehrach, Microsoft Research Cambridge.

Cambridge University Engineering Department, CBL Rm #438 (http://blg.eng.cam.ac.uk/t/bin/view/Public/Contact).

Wednesday 02 December 2009, 11:00-12:00

Machine Learning @ CUED

Indian Buffet Processes with Power-law Behaviour

Yee Whye Teh (Gatsby Unit, UCL).

Engineering Department, CBL Room 438.

Friday 20 November 2009, 14:00-15:00

Machine Learning @ CUED

Gaussian Processes for Active Data Selection, Faults, Changepoints and Sensor Selection

Prof. Stephen Roberts (Oxford).

Engineering Department, CBL Room 438.

Thursday 19 November 2009, 14:00-15:00

Machine Learning @ CUED

KL control theory and decision making under uncertainty

Bert Kappen ( Radboud University Nijmegen, The Netherlands).

Engineering Department, CBL Room 438.

Tuesday 10 November 2009, 11:00-12:00

Machine Learning @ CUED

Information theoretic model selection in clustering

Joachim M Buhmann, Department of Computer Science, ETH Zurich.

Engineering Department, CBL Room 438.

Wednesday 28 October 2009, 11:00-12:00

Machine Learning @ CUED

Motor Skills Learning for Robotics

Jan Peters, Max Planck Institute for Biological Cybernetics in Tübingen.

Engineering Department, CBL Room 438.

Friday 09 October 2009, 13:00-14:00

Machine Learning @ CUED

Coconut: Optimizing computations for machine learning

Andrew Fitzgibbon (Microsoft Research Cambridge).

Engineering Department, CBL Room 438.

Tuesday 29 September 2009, 14:00-15:00

Machine Learning @ CUED

CANCELLED

Cancelled

Prof. Eric Xing (CMU).

Engineering Department, CBL Room 438.

Friday 18 September 2009, 10:00-11:00

Machine Learning @ CUED

Convex Variational Bayesian Inference for Large Scale Generalized Linear Models

Hannes Nickisch.

Engineering Department, CBL Room 438.

Thursday 27 August 2009, 11:00-12:00

Machine Learning @ CUED

Computable Probability Theory

Daniel Roy (MIT).

Engineering Department, CBL Room 438.

Tuesday 28 July 2009, 14:00-15:00

Machine Learning @ CUED

Using gradient descent for optimization and learning

Nicolas Le Roux (Microsoft Research).

Engineering Department, CBL Room 438.

Tuesday 26 May 2009, 13:00-15:00

Machine Learning @ CUED

Learning from Measurements in Exponential Families

Percy Liang (University of California, Berkeley).

Engineering Department, CBL Room 438.

Wednesday 25 March 2009, 11:00-12:00

Machine Learning @ CUED

Shrinkage regression for multivariate inference with missing data, with an application to portfolio balancing

Robert B. Gramacy (University of Cambridge).

Engineering Department, CBL Room 438.

Tuesday 10 March 2009, 15:00-16:00

Machine Learning @ CUED

Quasi-linear Sensor Management

Marco Huber (University of Karlsruhe).

Engineering Department, CBL Room 438.

Friday 06 March 2009, 15:00-16:00

Machine Learning @ CUED

An Introduction to Transcriptomics

Machine Learning Tutorial Lecture

Prof Brendan Frey (University of Toronto).

Cambridge University Engineering Department, LR4.

Thursday 26 February 2009, 16:00-18:00

Machine Learning @ CUED

Generalization in Learning

Yevgeny Seldin (Hebrew University).

Engineering Department, CBL Room 438.

Friday 20 February 2009, 11:00-12:00

Machine Learning @ CUED

Stochastic control as an inference problem

Prof. Bert Kappen (University of Nijmegen).

Cambridge University Engineering Department, LR5.

Tuesday 17 February 2009, 14:00-15:00

Machine Learning @ CUED

Extending the Affinity Propagation Model

Inmar Givoni (University of Toronto).

Engineering Department, CBL Room 438.

Friday 30 January 2009, 13:00-14:00

Machine Learning @ CUED

The Block Diagonal Infinite Hidden Markov Model

Tom Stepleton (CMU).

Engineering Department, CBL Room 438.

Wednesday 21 January 2009, 13:00-14:00

Machine Learning @ CUED

Probabilistic Graph Models for Debugging Software

Laura Dietz (Max Planck Institute for Computer Science, Saarbrücken).

Engineering Department, CBL Room 438.

Monday 19 January 2009, 14:00-15:00

Machine Learning @ CUED

HMMs for Protein Sequencing from Mass Spectrometry Data

Dr Bernd Fischer (EBI).

Engineering Department, CBL Room 438.

Tuesday 13 January 2009, 14:00-15:00

Machine Learning @ CUED

Mondrian Processes

Yee Whye Teh (Gatsby Unit, UCL).

Engineering Department, TBA.

Friday 05 December 2008, 14:00-15:00

Machine Learning @ CUED

Deep Networks for Vision

Machine Learning Tutorial Lecture

Prof Brendan Frey (University of Toronto).

Cambridge University Engineering Department, LR4.

Thursday 27 November 2008, 16:00-18:00

Machine Learning @ CUED

Hardness Ratios

Yue Wu.

Engineering Department, CBL Room 438.

Tuesday 25 November 2008, 14:00-14:30

Machine Learning @ CUED

Consensus finding, exponential models and infinite rankings

Dr Marina Meila (University of Washington).

Engineering Department, CBL Room 438.

Wednesday 12 November 2008, 13:00-14:00

Machine Learning @ CUED

Foundations of Nonparametric Bayesian Methods (Part III)

Peter Orbanz (University of Cambridge).

Engineering Department, CBL Room 438.

Tuesday 28 October 2008, 11:00-13:00

Machine Learning @ CUED

Efficient Sequential Monte Carlo Inference for Kingman's Coalescent

Note unusual time

Dr Dilan Gorur (Gatsby Unit, UCL).

Engineering Department, CBL Room 438.

Wednesday 22 October 2008, 13:00-14:00

Machine Learning @ CUED

Context in human robot interaction

Thomas Kollar (MIT).

Engineering Department, CBL Room 438.

Tuesday 21 October 2008, 15:00-16:00

Machine Learning @ CUED

Foundations of Nonparametric Bayesian Methods (Part II)

Peter Orbanz (University of Cambridge).

Engineering Department, CBL Room 438.

Thursday 16 October 2008, 16:00-18:00

Machine Learning @ CUED

Foundations of Nonparametric Bayesian Methods (Part I)

Peter Orbanz (University of Cambridge).

Engineering Department, CBL Room 438.

Thursday 09 October 2008, 16:00-18:00

Machine Learning @ CUED

Shared Segmentation of Natural Scenes using Dependent Pitman-Yor Processes

Dr Erik Sudderth (UC Berkeley).

Engineering Department, CBL Room 438.

Wednesday 08 October 2008, 13:30-14:30

Machine Learning @ CUED

Spoken Dialogue Management

Sebastien Bratieres.

Engineering Department, CBL Room 438.

Monday 29 September 2008, 11:00-12:00

Machine Learning @ CUED

A Bayesian approach to language learning

Dr Sharon Goldwater (Edinburgh).

Engineering Department, CBL Room 438.

Friday 26 September 2008, 15:00-16:00

Machine Learning @ CUED

Learning Bigrams from Unigrams

Andrew B. Goldberg (University of Wisconsin, Madison).

Engineering Department, CBL Room 438.

Tuesday 23 September 2008, 14:00-15:00

Machine Learning @ CUED

Nonparametric Bayesian Natural Language Model Domain Adaptation: A Hierarchical, Hierarchical Pitman-Yor Process Language Model

Dr Frank Wood (UCL).

Engineering Department, CBL Room 438.

Wednesday 17 September 2008, 14:00-15:00

Machine Learning @ CUED

Bayesian approaches to autonomous Bayesian real-time learning

Jo-Anne Ting (University of Southern California).

Engineering Department, CBL Room 438.

Monday 15 September 2008, 14:00-15:00

Machine Learning @ CUED

Non-negative matrix factorization with Gaussian process priors

Dr Mikkel N. Schmidt (Technical University of Denmark / Cambridge).

Engineering Department, CBL Room 438.

Wednesday 10 September 2008, 14:00-15:00

Machine Learning @ CUED

Matrix Factorization and Relational Learning

Ajit Paul Singh (CMU).

Engineering Department, CBL Room 438.

Tuesday 09 September 2008, 14:00-15:00

Machine Learning @ CUED

Double Feature: Optimal Precoding for MIMO and Divergence Estimation for Continuous Distributions

Dr Fernando Perez-Cruz (Princeton).

Engineering Department, CBL Room 438.

Wednesday 16 July 2008, 14:00-15:00

Machine Learning @ CUED

Nonparametric Bayesian Learning of Switching Dynamical Systems

Emily Fox (MIT).

Engineering Department, CBL Room 438.

Tuesday 15 July 2008, 14:00-15:00

Machine Learning @ CUED

Message-passing inference on graphical models

Simon Byrne (Cambridge).

Engineering Department, CBL Room 438.

Tuesday 15 July 2008, 11:30-12:30

Machine Learning @ CUED

Bayesian analysis of complex biological systems

Dr Edo Airoldi (Princeton).

Engineering Department, CBL Room 438.

Wednesday 25 June 2008, 15:00-16:00

Machine Learning @ CUED

Variational inference for partially observed diffusion processes

Dr. Cedric Archambeau (University College London).

Engineering Department, CBL Room 438.

Monday 16 June 2008, 14:00-15:00

Machine Learning @ CUED

Assessing high-dimensional latent variable models

Dr Iain Murray (Toronto).

Engineering Department, CBL Room 438.

Thursday 12 June 2008, 14:00-15:00

Machine Learning @ CUED

Identification of dynamical subpopulations, optimal experiment design and more

Alberto Giovanni Busetto, ETH Zurich.

Engineering Department, CBL Room 438.

Friday 30 May 2008, 11:00-12:00

Machine Learning @ CUED

H-Infinity Clustering

Prof. Sam Roweis (Toronto).

Engineering Department, CBL Room 438.

Wednesday 28 May 2008, 14:00-15:00

Machine Learning @ CUED

Sustainable Energy - without the hot air

David MacKay (Cavendish Laboratory).

Cambridge University Engineering Department, Lecture Room 4.

Tuesday 27 May 2008, 14:00-16:00

Machine Learning @ CUED

Modeling Behaviour in Economic Games using Game-Theoretic POMDPs

Debajyoti Ray (Gatsby Unit, UCL).

Engineering Department, CBL Room 438.

Wednesday 14 May 2008, 14:00-15:00

Machine Learning @ CUED

Talking with Robots: A Case Study in Architectures for Cognitive Robotics

Dr Jeremy Wyatt (University of Birmingham).

Engineering Department, CBL Room 438.

Tuesday 13 May 2008, 11:30-12:30

Machine Learning @ CUED

An Introduction to Statistical Learning Theory

Machine Learning Tutorial Lecture

Prof. John Shawe-Taylor (UCL).

Cambridge University Engineering Department, Lecture Room 4.

Thursday 08 May 2008, 16:00-18:00

Machine Learning @ CUED

Beam Sampling for Infinite Hidden Markov Models

Jurgen Van Gael.

Engineering Department, CBL Room 438.

Wednesday 02 April 2008, 14:00-15:00

Machine Learning @ CUED

Learning quantum physics

Dr Gabor Csanyi (Dept of Engineering).

Engineering Department, CBL Room 438.

Monday 17 March 2008, 14:00-15:00

Machine Learning @ CUED

Convergence analysis of the EM algorithm and joint minimization of free energy

Dr Shin-ichi Maeda (NARA Institute of Science and Technology).

Engineering Department, CBL Room 438.

Wednesday 12 March 2008, 13:00-14:00

Machine Learning @ CUED

Discriminative Methods with Structure

Simon Lacoste-Julien (Univ of California at Berkeley).

Engineering Department, CBL Room 438.

Tuesday 11 March 2008, 11:30-12:30

Machine Learning @ CUED

A Bayesian approach to network modularity: inferring the structure and scale of modular networks

Jake Hofman (Columbia University).

Engineering Department, CBL Room 438.

Thursday 06 March 2008, 11:00-12:00

Machine Learning @ CUED

Inductive Logic Programming

Machine Learning Tutorial Lecture

Stephen Muggleton (Imperial College London).

LT2 (Inglis Building) Engineering, Department of.

Thursday 28 February 2008, 16:00-18:00

Machine Learning @ CUED

Statistical Machine Translation

Machine Learning Tutorial Lecture

Bill Byrne, Machine Intelligence Laboratory.

LT2 (Inglis Building) Engineering, Department of.

Thursday 21 February 2008, 16:00-18:00

Machine Learning @ CUED

Model selection and model order adaptation for clustering

Peter Orbanz (ETH Zurich).

Engineering Department, CBL Room 438.

Thursday 21 February 2008, 14:00-15:00

Machine Learning @ CUED

Expectation Propagation, Experimental Design for the Sparse Linear Model

Matthias Seeger (Max Planck Institute for Biological Cybernetics).

Engineering Department, CBL Room 438.

Wednesday 20 February 2008, 14:00-15:00

Machine Learning @ CUED

Biomedical Image Search

Alex Ksikes (University of Cambridge).

Engineering Department, CBL Room 438.

Monday 18 February 2008, 11:30-12:30

Machine Learning @ CUED

Information Retrieval

Machine Learning Tutorial Lecture

Stephen Robertson, Microsoft Research Cambridge.

LT2 (Inglis Building) Engineering, Department of.

Thursday 14 February 2008, 16:00-18:00

Machine Learning @ CUED

Stable distribution and data sketching

Ioana Cosma, Department of Statistics, University of Oxford.

Engineering Department, CBL Room 438.

Wednesday 06 February 2008, 14:00-15:00

Machine Learning @ CUED

Reinforcement Learning

Machine Learning Tutorial Lecture (Note unusual day)

Peter Dayan, Gatsby Unit, UCL.

LT2 (Inglis Building) Engineering, Department of.

Tuesday 29 January 2008, 16:00-18:00

Machine Learning @ CUED

Modeling Science: Topic models of Scientific Journals and Other Large Document Collections

David Blei, Computer Science, Princeton University.

Engineering Department - LR3.

Wednesday 23 January 2008, 14:00-15:00

Machine Learning @ CUED

Sparse Gaussian Process in Disease Mapping

Jarno Vanhatalo, Helsinki University of Technology.

Engineering Department, CBL Room 438.

Tuesday 22 January 2008, 11:00-12:00

Machine Learning @ CUED

Graphical Models

Machine Learning Tutorial Lecture

Christopher M. Bishop, Microsoft Research, Cambridge.

LT2 (Inglis Building) Engineering, Department of.

Thursday 17 January 2008, 16:00-18:00

Machine Learning @ CUED

Gene Regulatory Network Inference: A Kernel-Based Learning Approach

Sandy Klemm, University of Cambridge.

Engineering Department, CBL Room 438.

Monday 26 November 2007, 15:00-16:00

Machine Learning @ CUED

Error Correcting Codes

Machine Learning Tutorial Lecture

David J.C. MacKay, Department of Physics.

LR4, Engineering, Department of.

Thursday 22 November 2007, 16:00-18:00

Machine Learning @ CUED

Clinical data based optimal STI strategies for HIV: a reinforcement learning approach

Dr Guy-Bart Stan (University of Cambridge).

Engineering Department, CBL Room 438.

Wednesday 21 November 2007, 14:00-15:00

Machine Learning @ CUED

Machine Learning Applications / Challenges in Natural Language Parsing

Machine Learning Tutorial Lecture

Ted Briscoe, Computer Laboratory.

LR4, Engineering, Department of.

Thursday 15 November 2007, 16:00-18:00

Machine Learning @ CUED

An overview of covariance operators in Hilbert space, and their applications

Arthur Gretton.

Engineering Department, CBL Room 438.

Wednesday 07 November 2007, 14:00-15:00

Machine Learning @ CUED

Optimal Control and Reinforcement Learning with Gaussian Process Models

Marc Deisenroth (University of Cambridge).

Engineering Department, CBL Room 438.

Wednesday 07 November 2007, 11:30-12:30

Machine Learning @ CUED

Prequential Statistics

Machine Learning Tutorial Lecture

Philip Dawid, Statistical Laboratory, Cambridge.

LR4, Engineering, Department of.

Thursday 01 November 2007, 16:00-18:00

Machine Learning @ CUED

Spectral Clustering

Machine Learning Tutorial Lecture

Arik Azran, Machine Learning Group.

LR4, Engineering, Department of.

Thursday 25 October 2007, 16:00-18:00

Machine Learning @ CUED

Group Theory and Machine Learning

Machine Learning Tutorial Lecture

Imre Risi Kondor, Gatsby Unit, UCL.

LR4, Engineering, Department of.

Thursday 18 October 2007, 16:00-18:00

Machine Learning @ CUED

Hidden Common Cause Relations in Relational Learning

Ricardo Silva (Statistical Laboratory).

LR6, Engineering, Department of.

Wednesday 17 October 2007, 14:00-15:00

Machine Learning @ CUED

Optimal Spreading Sequences for Chaos-Based Communication Systems; Using CSK as a Case Study

Theodore Papamarkou, University of Warwick.

LR5, Engineering, Department of..

Wednesday 03 October 2007, 14:00-15:00

Machine Learning @ CUED

Graph Kernels for Data Mining

Karsten Borgwardt, Machine Learning Group @ CUED.

LR5, Engineering, Department of.

Wednesday 19 September 2007, 14:00-15:00

Machine Learning @ CUED

Geometric Algorithms for Linear Independent Component Analysis

Hao Shen, National ICT Australia and Australian National University, Canberra.

LR5, Engineering, Department of.

Friday 14 September 2007, 14:00-15:00

Machine Learning @ CUED

Covariate Shift Adaptation: Supervised Learning When Training and Test Inputs Have Different Distributions

Masashi Sugiyama (Tokyo Institute of Technlogy).

LR5, Engineering, Department of.

Thursday 13 September 2007, 13:00-14:30

Machine Learning @ CUED

Bayesian Ranking

Advanced Machine Learning Tutorial Lecture

Ralf Herbrich, Microsoft Research Cambridge.

LR4, Engineering, Department of.

Thursday 15 March 2007, 16:00-18:00

Machine Learning @ CUED

Logistic Regression with a Laplacian prior on the Eigenvalues: Convex duality and application to EEG classification

Note different room and time

Ryota Tomioka (University of Tokyo / Fraunhofer FIRST).

LT1 (Inglis Building) Engineering, Department of.

Thursday 15 March 2007, 13:00-14:00

Machine Learning @ CUED

Dirichlet Processes and Hierarchical Dirichlet Processes

Advanced Machine Learning Tutorial Lecture

Dr Yee Whye Teh, Gatsby Unit, UCL.

LR4, Engineering, Department of.

Thursday 01 March 2007, 16:00-18:00

Machine Learning @ CUED

An Introduction to Non-parametric Bayesian Methods

Room changed this week!

Professor Zoubin Ghahramani, University of Cambridge.

LR5, Engineering, Department of.

Thursday 22 February 2007, 16:00-18:00

Machine Learning @ CUED

Robot Localisation and Mapping

Advanced Machine Learning Tutorial Lecture

Dr Paul M Newman, Oxford University.

LR4, Engineering, Department of.

Thursday 01 February 2007, 16:00-18:00

Machine Learning @ CUED

Advanced MCMC Methods

Advanced Machine Learning Tutorial Lecture

Iain Murray, Gatsby Unit, UCL.

LR4, Engineering, Department of.

Thursday 23 November 2006, 16:00-18:00

Machine Learning @ CUED

Expectation Propagation

Advanced Machine Learning Tutorial Lecture

Dr Tom Minka, Microsoft Research Cambridge.

LR4, Engineering, Department of.

Thursday 16 November 2006, 16:00-18:00

Machine Learning @ CUED

Causality

Advanced Tutorial Lecture Series on Machine Learning

Dr Ricardo Silva, Gatsby Unit, UCL.

LR4, Engineering, Department of.

Thursday 09 November 2006, 16:00-18:00

Machine Learning @ CUED

Gaussian Processes for Machine Learning

Advanced Machine Learning Tutorial Lecture

Ed Snelson, Gatsby Unit, UCL.

LR4, Engineering, Department of.

Thursday 26 October 2006, 16:00-18:00

Machine Learning @ CUED

Mixture Models and the EM Algorithm

Advanced Machine Learning Tutorial Lecture

Professor Chris Bishop, Microsoft Research Cambridge.

LR4, Engineering, Department of.

Thursday 05 October 2006, 16:00-18:00

Machine Learning @ CUED

Probabilistic Dimensional Reduction with the Gaussian Process Latent Variable Model

Dr Neil Lawrence, Computer Science, University of Sheffield.

LR10, Engineering, Department of.

Tuesday 07 March 2006, 12:30-13:30