Machine Learning Reading Group @ CUED

Federated Learning

Siddharth Swaroop (University of Cambridge).

Engineering Department, CBL Room BE-438.

Wednesday 11 March 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Self-Supervised Representation Learning

Javier Antoran (University of Cambridge).

Engineering Department, CBL Room BE-438.

Wednesday 26 February 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Kernel Mean Embeddings

Elre Oldewage (University of Cambridge).

Engineering Department, CBL Room BE-438.

Wednesday 19 February 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Neural Tangent Kernel

Adria Garriga Alonso, Sebastian Ober.

Engineering Department, CBL Room BE-438.

Wednesday 12 February 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Scalable Gaussian Processes

David Burt, Andrew Foong.

Engineering Department, CBL Room BE-438.

Wednesday 04 December 2019, 14:00-15:30

Machine Learning Reading Group @ CUED

Probabilistic Programming

Hong Ge and John Bronskill.

Engineering Department, CBL Room BE-438.

Wednesday 27 November 2019, 14:00-15:30

Machine Learning Reading Group @ CUED

Neural Attention

Elre Oldewage, George Hron.

Engineering Department, CBL Room BE-438.

Wednesday 20 November 2019, 14:00-15:30

Machine Learning Reading Group @ CUED

Equivariance and Symmetries in CNNs

James Allingham, Omer Sella.

Engineering Department, CBL Room BE-438.

Wednesday 13 November 2019, 14:00-15:30

Machine Learning Reading Group @ CUED

Hyperparameter Optimisation

Ross Clarke, Erik Daxberger, Austin Tripp.

Engineering Department, CBL Room BE-438.

Wednesday 06 November 2019, 14:00-15:30

Machine Learning Reading Group @ CUED

Meta-Learning or "Learning To Learn"

John Bronskill, Marton Havasi.

Engineering Department, CBL Room BE-438.

Wednesday 30 October 2019, 14:00-15:30

Machine Learning Reading Group @ CUED

Hamiltonian Monte Carlo for Hierarchical Models

Vidhi Lalchand.

Engineering Department, CBL Room BE-438.

Wednesday 23 October 2019, 14:00-15:30

Machine Learning Reading Group @ CUED

Particle MCMC

Will Tebbutt (University of Cambridge).

Engineering Department, CBL Room BE-438.

Wednesday 15 May 2019, 14:00-15:30

Machine Learning Reading Group @ CUED

Stochastic Differential Equations

David Burt.

Engineering Department, CBL Room BE-438.

Wednesday 08 May 2019, 14:00-15:30

Machine Learning Reading Group @ CUED

Generalisation in neural networks

Marton Havasi.

Engineering Department, CBL Room BE-438.

Wednesday 01 May 2019, 14:00-15:30

Machine Learning Reading Group @ CUED

An Overview of Normalizing Flows

Robert Pinsler.

Engineering Department, CBL Room BE-438.

Wednesday 24 April 2019, 14:00-15:30

Machine Learning Reading Group @ CUED

Sampling as Optimization

Eric Nalisnick, University of Cambridge.

Engineering Department, CBL Room BE-438.

Wednesday 03 April 2019, 13:45-15:15

Machine Learning Reading Group @ CUED

Implicit Variational Inference

Andrew Foong (University of Cambridge).

Engineering Department, CBL Room BE-438.

Wednesday 13 March 2019, 13:45-15:15

Machine Learning Reading Group @ CUED

Continual Learning: Definitions, Benchmarks, and Approaches

Siddharth Swaroop (University of Cambridge).

Engineering Department, CBL Room BE-438.

Wednesday 06 March 2019, 13:45-15:15

Machine Learning Reading Group @ CUED

Causal Inference and Causal Reinforcement Learning

Chaochao Lu (University of Cambridge).

Engineering Department, CBL Room BE-438.

Wednesday 27 February 2019, 13:45-15:15

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

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

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

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

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

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

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

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

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

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

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

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 Tutorial on Probabilistic Programming

Prof. Frank Wood (Oxford).

Engineering Department, CBL Room BE-438.

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

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

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

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

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

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

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

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

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

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

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