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0 upcoming talks and 425 talks in the archive.

Machine Learning @ CUED

Modern Bayesian Experimental Design

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

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

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

Machine Learning @ CUED

Gaussian processes, spectral analysis kernels and optimal transport

UserFelipe Tobar, Universidad de Chile.

HouseCBL Seminar Room.

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

Machine Learning @ CUED

Models and inference for temporal Gaussian processes

UserWilliam Wilkinson, Aalto University, Finland.

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Learning-Algorithms from Bayesian Principles

UserEmti Khan, RIKEN center for Advanced Intelligence Project.

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Rotation Invariant Householder Parameterization for Bayesian PCA

UserRajbir Nirwan, Goethe University, Frankfurt.

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

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

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

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Efficiency and Transferability of Neural Networks

UserAmos Storkey, School of Informatics, University of Edinburgh.

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

NeVAE: A Deep Generative Model for Molecular Graphs

UserAbir De, Max Planck Institute for Software Systems.

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Online Meta-Learning

UserMassimiliano Pontil, University College London.

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Fast yet Simple Natural-Gradient Variational Inference in Complex Models

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

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Algorithmic Glass Ceiling in Social Networks

UserAna Stoica, Columbia University.

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Algorithmic Glass Ceiling in Social Networks

UserAna Stoica, Columbia University.

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Lipschitz Global Optimization

UserProfessor Yaroslav D Sergeyev, Universita della Calabria.

HouseCBL Seminar Room.

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

Machine Learning @ CUED

Bayesian Generative Adversarial Networks

UserProfessor Andrew Wilson, Cornell University.

HouseCBL Seminar Room.

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

Machine Learning @ CUED

AI for Inclusive Finance

UserAlan Qi and Le Song.

HouseCBL Seminar Room.

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

Machine Learning @ CUED

Towards true end-to-end learning & optimization

UserDr Frank Hutter.

HouseCBL Seminar Room.

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

Machine Learning @ CUED

Transfer Learning for NLP

UserSebastian Ruder, INSIGHT Centre.

HouseJDB Seminar Room, CUED.

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

Machine Learning @ CUED

Deep learning for autonomous driving

UserTakayoshi Yamashita (Chubu University) .

HouseCBL Room BE-438, Department of Engineering.

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

Machine Learning @ CUED

Differentially Private Bayesian Learning

UserDr Antti Honkela, University of Helsinki.

HouseCBL Room BE-438, Department of Engineering.

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

Computational and Biological Learning Seminar Series

Control, inference and learning

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

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Differential Privacy Tutorial

UserAlex Matthews and John Bradshaw, University of Cambridge.

HouseCBL Room BE-438, Department of Engineering.

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

Machine Learning @ CUED

Cooperative Inverse Reinforcement Learning

UserDylan Hadfield-Menell, UC Berkeley.

HouseCBL Room BE-438, Department of Engineering.

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

Machine Learning Study Group

Deep Learning Book - Meeting 3 - Optimization

UserGroup Discussion.

HouseCBL Room BE-438.

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

Machine Learning Study Group

Deep Learning Book - Meeting 2 - Regularization

UserGroup Discussion.

HouseCBL Room BE-438.

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

Machine Learning @ CUED

Variational Bayes In Private Settings

UserMijung Park, University of Amsterdam.

HouseCBL Room BE-438, Department of Engineering.

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

Machine Learning @ CUED

Julia: Introduction and new developments

UserDr Simon Byrne (Julia Computing).

HouseCBL Room BE-438, Department of Engineering.

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

Machine Learning @ CUED

Variational autoencoders with latent graphical models

UserProf David Duvenaud (University of Toronto).

HouseCBL Room BE-438, Department of Engineering.

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

Machine Learning @ CUED

Learning with limited supervision

UserStefano Ermon, Stanford.

HouseCBL Room BE-438.

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

Machine Learning @ CUED

Rejection Sampling Variational Inference

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

HouseCBL Room BE-438.

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

Machine Learning @ CUED

Probabilistic Numerical Computation: A New Concept?

UserProf. Mark Girolami (University of Warwick).

HouseCBL Room BE-438, Department of Engineering.

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

Machine Learning @ CUED

Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models

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

HouseCBL Room BE-438.

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

Machine Learning @ CUED

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

UserDushyant Rao, Oxford Robotics Institute.

HouseCBL Room BE-438.

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

Machine Learning @ CUED

Probabilistic modeling for position and orientation estimation using inertial sensors

UserManon Kok, Department of Electrical Engineering, Linköping University.

HouseCBL Room BE-438.

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

Machine Learning @ CUED

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

UserProfessor Francis Bach (INRIA, ENS).

HouseCBL Room BE-438.

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

Machine Learning @ CUED

Multiresolution Matrix Factorization

UserProf Risi Kondor (U Chicago).

HouseCBL Room BE-438.

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

Machine Learning @ CUED

Dynamic Models for Health Data

UserProfessor Katherine A Heller (Duke University).

HouseCBL Room BE-438.

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

Machine Learning @ CUED

Learning with Memory Embeddings

UserProfessor Volker Tresp (Ludwig Maximilian University of Munich).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Inference as Learning

UserGeorge Papamakarios (University of Edinburgh).

HouseCBL Room BE-438.

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

Machine Learning @ CUED

Learning Task Relations in Multi-Task Learning

Via Skype

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

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Variational inference for scalable Gaussian process approximations

UserAlexander Matthews (University of Cambridge).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Unsupervised Risk Estimation with only Structural Assumptions

UserJacob Steinhardt (Stanford University).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

The geometry of uncertainty

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

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

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

Machine Learning @ CUED

A more Automated Statistician

UserDavid Janz, Oxford University.

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

General Reinforcement Learning

UserJan Leike (Australian National University).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Inference of a partially observed kinetic Ising model

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

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Meta-Bayesian Analysis

UserProf. Daniel Roy (University of Toronto).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

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

UserFrancesco Paolo Casale, European Bioinformatics Institute.

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Higher Order Fused Regularization for Supervised Learning with Grouped Parameters

UserKoh Takeuchi (NTT Communication Science Laboratories).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

A-Star Sampling Review

UserChris Maddison (U Toronto).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Convex Factorization Machines

UserMathieu Blondel (NTT Communication Science Laboratorie).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Belief and Truth in Hypothesised Behaviours

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

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Information-Theoretic Bounded Rationality

UserPedro A. Ortega (University of Pennsylvania).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

The limits of MAP inference by MWSS on perfect graphs

UserDr Adrian Weller (MLG, University of Cambridge).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Scalable Gaussian Processes for Scientific Discovery

UserDr Andrew Wilson, Carnegie Mellon University.

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

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

(via Skype!)

UserAlex Shestopaloff (University of Toronto).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Rich Component Analysis

UserJames Zou (Microsoft Research New England).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Modeling Confounding by Half-Sibling Regression

SHORT TALK (20 minutes)

UserProf Bernhard Schölkopf (MPI Tuebingen).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Convex and non-convex worlds in machine learning

UserAnna Choromanska (New York University).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Random Function Classes for Machine Learning

UserProf Alexander Smola, Carnegie Mellon University.

HouseCambridge University Engineering Department, LT1.

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

Machine Learning @ CUED

Deep Learning

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

House Cambridge University Engineering Department, Lecture Theatre 0.

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

Machine Learning @ CUED

Do Deep Nets Really Need to be Deep?

UserDr Rich Caruana (Microsoft).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Direction-Only Optimisation for Neural Networks

Short talk

UserMark Rowland (Cambridge).

HouseEngineering Department, CBL Room BE-438.

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

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

UserProf. Chris Bishop, Microsoft Research, Cambridge.

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

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

Machine Learning @ CUED

Title to be confirmed

UserTuan Anh Le (Oxford).

HouseEngineering Department, CBL Room BE-438.

ClockThursday 23 April 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

UserSvitlana Volkova, Johns Hopkins University.

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

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

Machine Learning @ CUED

Population Inference for Functional Brain Connectivity

UserGenevera I. Allen (Rice University).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Probabilistic approaches to understanding bird conversations

UserDan Stowell (Queen Mary University of London).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

A* Sampling

UserChris Maddison (U Toronto).

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Orthologous networks in biological systems

UserDr Christopher Penfold (Warwick).

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Latent Branching Trees

UserDr Theodore Kypraios (University of Nottingham).

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Experiments with Non-parametric Topic Models

UserProf. Wray Buntine (Monash University).

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Machine Translation with LSTMs

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

UserIlya Sutskever (Google).

HouseEngineering Department, LR3B.

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

Machine Learning @ CUED

Oracle Variational Inference

UserJames McInerney (Columbia University).

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

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

short talk

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

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

A Tutorial on Probabilistic Programming

UserProf. Frank Wood (Oxford).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

New Methods in Bayesian Optimization for Machine Learning

UserJasper Snoek (Harvard University).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

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

UserMaria Lomeli-Garcia (Gatsby Unit, UCL).

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Local Deep Kernel Learning for Efficient Non-linear SVM Prediction

UserManik Varma (Microsoft Research India).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Probabilistic Numerics - a snapshot of an emerging community

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

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

On the Bethe approximation

UserAdrian Weller (Columbia University).

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Gaussian process regression on graphs

UserPeter Sollich (King's College London).

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Implicit Representation Networks

UserDavid Barber (University College London).

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Scalable Deep Gaussian Processes

UserJames Hensman (University of Sheffield).

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

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

NOTE THE SPECIAL VENUE (Microsoft Research)

UserProfessor Stuart Russell (UC Berkeley).

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

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

Machine Learning @ CUED

Practical Machine Learning at Facebook. Examples and Lessons Learnt.

Room changed to LR4

UserJoaquin Quinonero Candela (Facebook).

HouseEngineering Department - ***LR4***.

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

Machine Learning @ CUED

Density Estimation in Infinite Dimensional Exponential Families

UserBharath Sriperumbudur (University of Cambridge).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Policy Evaluation with Temporal Differences

UserChristoph Dann (Technische Universität Darmstadt).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Matrix Means, Distances, Kernels, and Geometric Optimization

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

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Parameter estimation in deep learning architectures: Two new insights.

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

UserProf. Nando de Freitas (Oxford).

House Cambridge University Engineering Department, LR6.

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

Machine Learning @ CUED

Bayesian canonical correlation analysis

UserSeppo Virtanen (Aalto University).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Cambridge - Tuebingen PhD Applicant Talks (via Skype)

Interview talks via Skype

UserSpeaker to be confirmed.

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Particle filters and curse of dimensionality

Note: TALK via Skype!

UserPatrick Rebeschini (Princeton).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Bayesian nonparametrics: Dependency and Constraint Modeling

Note: TALK via Skype!

UserChangyou Chen (ANU).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Bayesian Nonparametric Model for Power Disaggregation

UserIsabel Valera (University Carlos III in Madrid).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Frequentist coverage of adaptive nonparametric Bayesian credible sets

UserBotond Szabo (Eindhoven University of Technology).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Anglican; Particle MCMC inference for Probabilistic Programs

UserJan-Willem van de Meent (Columbia University).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Dissecting genotype to phenotype relationships

UserOliver Stegle (EMBL-European Bioinformatics Institute).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

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

CANCELLED

UserManik Varma (Microsoft Research India).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Higher Order Learning for Classification in Emergency Situations

UserHannah Pauline Keiler (Columbia University and DIMACS).

HouseEngineering Department, CBL Room BE-438.

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

NLIP Seminar Series

Recursive Deep Learning for Modeling Semantic Compositionality

UserRichard Socher - Stanford University.

HouseFW26, Computer Laboratory.

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

Machine Learning @ CUED

Applied statistical genetics and next-generation association studies

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

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Applied statistical genetics and next-generation association studies

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

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Deep Gaussian Processes

UserProf. Neil Lawrence (Sheffield).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Approaches to statistical modeling of network data

UserMaxim Nazarov (Bocconi University).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Non-parametric Bayesian Chromatin State Segmentation

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

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Fast Variational Inference in the Conjugate Exponential Family

UserJames Hensman, The Sheffield Institute for Translational Neuroscience.

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Probabilistic methods for biomolecular structure simulations

UserJes Frellsen (University of Copenhagen).

HouseEngineering Department, CBL Room BE-438.

ClockMonday 22 October 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

UserMatthias Seeger, EPFL.

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

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

Machine Learning @ CUED

Multi-Label Learning with Millions of Categories

UserManik Varma (Microsoft Research India).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Efficient Sampling with Kernel Herding

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

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Frank-Wolfe optimization insights in machine learning

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

HouseEngineering Department, CBL Room BE-438.

ClockFriday 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

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

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

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

UserPedro Ortega (Max Planck Institute for Intelligent Systems).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Human Behavior Classification with Infinite Hidden Conditional Random Fields

UserKonstantinos Bousmalis and Stefanos Zafeiriou (Imperial College).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Learning with nonparametric dependence and divergence estimation

UserBarnabas Poczos (Carnegie Mellon University).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Infinite Structured Explicit Duration Hidden Markov Models

UserJonathan Huggins (Columbia University).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Bayesian Quadrature for Prediction and Optimisation

UserMichael Osborne ( Oxford University).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Variational Inference for Non-Conjugate Models

UserDr Guillaume Bouchard (Xerox).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Not so naive Bayesian classification

UserProf. Geoff Webb (Monash Univ).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Machine Learning Markets

UserDr Amos Storkey (Edinburgh).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Optimal Reinforcement Learning for Gaussian Systems

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

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Exclusive Pólya Urns and their applications

UserChristian Steinruecken (University of Cambridge).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Some Practical Reflections on Graphical Models

UserDr Charles Sutton (University of Edinburgh).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Beyond Keyword Search: Discovering Relevant Scientific Literature

UserKhalid El-Arini (Carnegie Mellon University).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Graphical Models for Bandit Problems

UserKareem Amin (University of Pennsylvania).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

An FX trading system using adaptive reinforcement learning

(rescheduled from May 24th)

UserProfessor Michael Dempster (Statistical Laboratory).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Censored Exploration in Dark Pools

UserProf. Michael Kearns (University of Pennsylvania).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

An FX trading system using adaptive reinforcement learning

RESCHEDULED FOR JUNE 7th

UserProfessor Michael Dempster (Statistical Laboratory).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Nonlinear Dynamics of Learning

UserProf. Max Welling (UC Irvine).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Exponential Conditional Volatility Models

UserProf Andrew Harvey (Economics, Cambridge).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Challenges in implementing the Bayesian paradigm

UserProf. Steve MacEachern (Ohio State).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Expectation Propagation in Sparse Linear Models with Spike and Slab Priors

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

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Title to be confirmed

UserYee Whye Teh (Gatsby Unit, UCL).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Differential Geometric MCMC Methods

UserProf. Mark Girolami (UCL).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Mining viral datasets

UserDr Simon Frost (University of Cambridge).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

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

(note new date)

UserDr Florian Markowetz (CRUK) - lab visit.

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Novi Quadrianto

UserNovi Quadrianto, Australian National University.

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Non-Smooth-Norm Image Reconstruction from Noisy Data

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

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Crowdsourcing data modelling

UserAnthony Goldbloom (Kaggle).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

CANCELLED

CANCELLED

UserDr Paolo Emilio Barbano (DAMTP).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Searching for Knowledge Instead of Web Pages

UserGjergji Kasneci (Microsoft Research, Cambridge).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Bayesian Inference with Kernels

UserDr Arthur Gretton (UCL).

HouseEngineering Department, CBL Room 438.

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

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!

UserProf Andrew Gelman (Columbia University).

HouseEngineering Department - LR4.

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

Machine Learning @ CUED

Creating structured and flexible models: some open problems

UserProf Andrew Gelman (Columbia University).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Using transformed domains to sparsify Gaussian Processes

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

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Natural Conjugate Gradient Learning for Fixed-Form Variational Bayes

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

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Sparse Factor Analysis Applied to Three Biological Problems

UserBarbara Engelhardt (University of Chicago).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Using topic models to help cure cancer

UserProf Quaid Morris (Toronto).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Message Passing In Centralized Database

short talk

UserKonstantina Palla (Edinburgh).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Structured Prediction Cascades

UserDr. Ben Taskar (University of Pennsylvania).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Parametric Bandits, Query Learning, and the Haystack Dimension

UserProf. Michael Kearns (University of Pennsylvania).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Slice sampling with latent Gaussian models

UserDr Iain Murray (Toronto / Edinburgh).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Making Sense of Data - A Research Agenda

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

House Cambridge University Engineering Department, Lecture Room 6.

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

Machine Learning @ CUED

Recursive CRFs for Scalable Vision

short talk

UserDavid Duvenaud (UBC).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Subspace Codes for Adversarial Error-Correction in Network Coding

short talk

UserAzadeh Khaleghi (University of Toronto).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Bayesian Inference in Networks of Queues

UserDr Charles Sutton (Edinburgh).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Stochastic Outlier Selection

UserJeroen Janssens (Tilburg University / University of Cambridge).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Machine Learning Course (4F13)

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

UserZoubin Ghahramani and Carl Rasmussen (Cambridge).

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

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

Machine Learning @ CUED

CANCELLED: Learning Components for Human Sensing

CANCELLED

UserDr Fernando de la Torre (CMU).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Visuospatial Reasoning

Short Talk

UserStephanie Chan (MIT).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Machine Learning Course (4F13)

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

UserZoubin Ghahramani and Carl Rasmussen (Cambridge).

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

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

Machine Learning @ CUED

Optimal Tag Sets for Automatic Image Annotation

short talk

UserSean Moran (Edinburgh).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Indian Buffet Processes with Power-law Behaviour

UserYee Whye Teh (Gatsby Unit, UCL).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

KL control theory and decision making under uncertainty

UserBert Kappen ( Radboud University Nijmegen, The Netherlands).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Information theoretic model selection in clustering

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

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Motor Skills Learning for Robotics

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

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Coconut: Optimizing computations for machine learning

UserAndrew Fitzgibbon (Microsoft Research Cambridge).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

CANCELLED

Cancelled

UserProf. Eric Xing (CMU).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Using gradient descent for optimization and learning

UserNicolas Le Roux (Microsoft Research).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Learning from Measurements in Exponential Families

UserPercy Liang (University of California, Berkeley).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Quasi-linear Sensor Management

UserMarco Huber (University of Karlsruhe).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

An Introduction to Transcriptomics

Machine Learning Tutorial Lecture

UserProf Brendan Frey (University of Toronto).

HouseCambridge University Engineering Department, LR4.

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

Machine Learning @ CUED

Generalization in Learning

UserYevgeny Seldin (Hebrew University).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Stochastic control as an inference problem

UserProf. Bert Kappen (University of Nijmegen).

HouseCambridge University Engineering Department, LR5.

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

Machine Learning @ CUED

Extending the Affinity Propagation Model

UserInmar Givoni (University of Toronto).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Probabilistic Graph Models for Debugging Software

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

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Mondrian Processes

UserYee Whye Teh (Gatsby Unit, UCL).

HouseEngineering Department, TBA.

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

Machine Learning @ CUED

Deep Networks for Vision

Machine Learning Tutorial Lecture

UserProf Brendan Frey (University of Toronto).

HouseCambridge University Engineering Department, LR4.

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

Machine Learning @ CUED

Hardness Ratios

UserYue Wu.

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Consensus finding, exponential models and infinite rankings

UserDr Marina Meila (University of Washington).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Foundations of Nonparametric Bayesian Methods (Part III)

UserPeter Orbanz (University of Cambridge).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Efficient Sequential Monte Carlo Inference for Kingman's Coalescent

Note unusual time

UserDr Dilan Gorur (Gatsby Unit, UCL).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Context in human robot interaction

UserThomas Kollar (MIT).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Foundations of Nonparametric Bayesian Methods (Part II)

UserPeter Orbanz (University of Cambridge).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Foundations of Nonparametric Bayesian Methods (Part I)

UserPeter Orbanz (University of Cambridge).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Spoken Dialogue Management

UserSebastien Bratieres.

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

A Bayesian approach to language learning

UserDr Sharon Goldwater (Edinburgh).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Learning Bigrams from Unigrams

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

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Bayesian approaches to autonomous Bayesian real-time learning

UserJo-Anne Ting (University of Southern California).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Non-negative matrix factorization with Gaussian process priors

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

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Variational inference for partially observed diffusion processes

UserDr. Cedric Archambeau (University College London).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

H-Infinity Clustering

UserProf. Sam Roweis (Toronto).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

An Introduction to Statistical Learning Theory

Machine Learning Tutorial Lecture

UserProf. John Shawe-Taylor (UCL).

House Cambridge University Engineering Department, Lecture Room 4.

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

Machine Learning @ CUED

Learning quantum physics

UserDr Gabor Csanyi (Dept of Engineering).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

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

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

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Discriminative Methods with Structure

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

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Inductive Logic Programming

Machine Learning Tutorial Lecture

UserStephen Muggleton (Imperial College London).

HouseLT2 (Inglis Building) Engineering, Department of.

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

Machine Learning @ CUED

Statistical Machine Translation

Machine Learning Tutorial Lecture

UserBill Byrne, Machine Intelligence Laboratory.

HouseLT2 (Inglis Building) Engineering, Department of.

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

Machine Learning @ CUED

Expectation Propagation, Experimental Design for the Sparse Linear Model

UserMatthias Seeger (Max Planck Institute for Biological Cybernetics).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Biomedical Image Search

UserAlex Ksikes (University of Cambridge).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Information Retrieval

Machine Learning Tutorial Lecture

UserStephen Robertson, Microsoft Research Cambridge.

HouseLT2 (Inglis Building) Engineering, Department of.

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

Machine Learning @ CUED

Stable distribution and data sketching

UserIoana Cosma, Department of Statistics, University of Oxford.

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Reinforcement Learning

Machine Learning Tutorial Lecture (Note unusual day)

UserPeter Dayan, Gatsby Unit, UCL.

HouseLT2 (Inglis Building) Engineering, Department of.

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

Machine Learning @ CUED

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

UserDavid Blei, Computer Science, Princeton University.

HouseEngineering Department - LR3.

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

Machine Learning @ CUED

Sparse Gaussian Process in Disease Mapping

UserJarno Vanhatalo, Helsinki University of Technology.

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Graphical Models

Machine Learning Tutorial Lecture

UserChristopher M. Bishop, Microsoft Research, Cambridge.

HouseLT2 (Inglis Building) Engineering, Department of.

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

Machine Learning @ CUED

Error Correcting Codes

Machine Learning Tutorial Lecture

UserDavid J.C. MacKay, Department of Physics.

HouseLR4, Engineering, Department of.

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

Machine Learning @ CUED

Machine Learning Applications / Challenges in Natural Language Parsing

Machine Learning Tutorial Lecture

UserTed Briscoe, Computer Laboratory.

HouseLR4, Engineering, Department of.

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

Machine Learning @ CUED

Optimal Control and Reinforcement Learning with Gaussian Process Models

UserMarc Deisenroth (University of Cambridge).

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Prequential Statistics

Machine Learning Tutorial Lecture

UserPhilip Dawid, Statistical Laboratory, Cambridge.

HouseLR4, Engineering, Department of.

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

Machine Learning @ CUED

Spectral Clustering

Machine Learning Tutorial Lecture

UserArik Azran, Machine Learning Group.

HouseLR4, Engineering, Department of.

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

Machine Learning @ CUED

Group Theory and Machine Learning

Machine Learning Tutorial Lecture

UserImre Risi Kondor, Gatsby Unit, UCL.

HouseLR4, Engineering, Department of.

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

Machine Learning @ CUED

Hidden Common Cause Relations in Relational Learning

UserRicardo Silva (Statistical Laboratory).

HouseLR6, Engineering, Department of.

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

Machine Learning @ CUED

Graph Kernels for Data Mining

UserKarsten Borgwardt, Machine Learning Group @ CUED.

HouseLR5, Engineering, Department of.

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

Machine Learning @ CUED

Geometric Algorithms for Linear Independent Component Analysis

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

HouseLR5, Engineering, Department of.

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

Machine Learning @ CUED

Bayesian Ranking

Advanced Machine Learning Tutorial Lecture

UserRalf Herbrich, Microsoft Research Cambridge.

HouseLR4, Engineering, Department of.

ClockThursday 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

UserRyota Tomioka (University of Tokyo / Fraunhofer FIRST).

HouseLT1 (Inglis Building) Engineering, Department of.

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

Machine Learning @ CUED

Dirichlet Processes and Hierarchical Dirichlet Processes

Advanced Machine Learning Tutorial Lecture

UserDr Yee Whye Teh, Gatsby Unit, UCL.

HouseLR4, Engineering, Department of.

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

Machine Learning @ CUED

An Introduction to Non-parametric Bayesian Methods

Room changed this week!

UserProfessor Zoubin Ghahramani, University of Cambridge.

HouseLR5, Engineering, Department of.

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

Machine Learning @ CUED

Robot Localisation and Mapping

Advanced Machine Learning Tutorial Lecture

UserDr Paul M Newman, Oxford University.

HouseLR4, Engineering, Department of.

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

Machine Learning @ CUED

Advanced MCMC Methods

Advanced Machine Learning Tutorial Lecture

UserIain Murray, Gatsby Unit, UCL.

HouseLR4, Engineering, Department of.

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

Machine Learning @ CUED

Expectation Propagation

Advanced Machine Learning Tutorial Lecture

UserDr Tom Minka, Microsoft Research Cambridge.

HouseLR4, Engineering, Department of.

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

Machine Learning @ CUED

Causality

Advanced Tutorial Lecture Series on Machine Learning

UserDr Ricardo Silva, Gatsby Unit, UCL.

HouseLR4, Engineering, Department of.

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

Machine Learning @ CUED

Gaussian Processes for Machine Learning

Advanced Machine Learning Tutorial Lecture

UserEd Snelson, Gatsby Unit, UCL.

HouseLR4, Engineering, Department of.

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

Machine Learning @ CUED

Mixture Models and the EM Algorithm

Advanced Machine Learning Tutorial Lecture

UserProfessor Chris Bishop, Microsoft Research Cambridge.

HouseLR4, Engineering, Department of.

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

Machine Learning @ CUED

Probabilistic Dimensional Reduction with the Gaussian Process Latent Variable Model

UserDr Neil Lawrence, Computer Science, University of Sheffield.

HouseLR10, Engineering, Department of.

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

Please see above for contact details for this list.

 

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