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

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

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

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

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

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

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

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

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

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 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

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