Latest news

  • BBC radio interviews on Deep Learning and Artificial IntelligenceMarch 31, 2015, 8:04 pm

    Prof Zoubin Ghahramani speaks on the BBC World Service’s The Forum programme. This 45 minute programme explores the topic of Deep Learning, interviewing Zoubin along with Professor Geoffrey Hinton (Toronto / Google) and Professor Trevor Darrell (Berkeley). Zoubin also talks to BBC Radio 4 Inside Science  about the recent Nature paper by Demis Hassabis and his [...]

  • Alex Davies Receives G-Research Award for Outstanding PhD ThesisMarch 23, 2015, 2:07 pm

    Alex was awarded a £10,000 prize by G-Research for an outstanding PhD with applications to mathematical finance. His thesis, titled “Effective Implementation of Gaussian Process Regression for Machine Learning”, proposed a new framework for the implementation of Gaussian Processes which is currently used  by some trading systems.

  • Postdoctoral and Senior Postdoctoral Positions in Machine LearningFebruary 16, 2015, 6:48 pm

    DEADLINE: 6 March 2015 We are seeking up to three highly creative and motivated researchers to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. Positions are available at the Senior Research Associate (SRA), Research Associate, and Research Assistant levels. All positions will involve research in direct collaboration with Professor [...]

  • Photo competition entries from the group featured in The TelegraphNovember 20, 2014, 12:02 pm

    Two entries from the group into the 2014 Engineering Department Photo Competition are featured in The Telegraph. The article features Yarin Gal’s second place prize-winning photo of an extrapolated image of Van Gogh’s starry night and David Duvenaud’s photo of a draw from a deep Gaussian process. The article in the telegraph can be found [...]

  • Cambridge-Tuebingen PhD Fellowship Deadline ApproachingNovember 12, 2014, 11:05 am

    The deadline for the Cambridge-Tuebingen PhD Fellowships is approaching!  The deadline is on the 2nd December 2014, and interviews will take place from 7th-8th January 2015. For more information on the fellowships, which are supported by Facebook and Amazon, can be found here.

  • New MPhil programme in Machine Learning, Speech, and Language TechnologiesNovember 12, 2014, 11:04 am

    A new MPhil programme has been created jointly by the Machine Learning Group and the Speech Group at the Engineering Department at the University of Cambridge. The MPhil (Masters of Philosophy) in Machine Learning, Speech, and Language Technologies is a 12 month full-time programme, which will see its first students starting in October 2015. For [...]

  • David Knowles wins ISBA Lindley PrizeOctober 16, 2014, 2:22 pm

    Congratulations to David Knowles for winning this year’s Lindley Prize for his paper “Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression”.  The prize is awarded every four years by the International Society for Bayesian Analysis (ISBA).  From the IBSA homepage: “Award winning papers will present research in Bayesian statistics that is is judged important, timely [...]

  • Sara Wade thesis selected as finalist for ISBA Savage AwardOctober 16, 2014, 1:52 pm

    Sara Wade’s PhD Thesis “Bayesian nonparametric regression through mixture models” has been selected as a finalist for the Savage Award in the Theory & Methods category by the International Society for Bayesian Analysis (ISBA).  Four finalists were selected.  Bios of the finalists and the abstracts of their theses may be found in the ISBA bulletin here. [...]

  • David Knowles awarded ISBA@NIPS Award for best invited Bayesian paperOctober 16, 2014, 1:42 pm

    Congratulations to David Knowles for being awarded the ISBA@NIPS travel award for the best invited Bayesian paper. After a careful consideration by the ISBA Program Council the ISBA@NIPS Travel Award for best invited paper has been granted to Dr. David Knowles. In his young career, Dr. Knowles has provided important interdisciplinary contributions both in the [...]

  • Ten new papers from the group to appear at NIPS 2014 in MontrealSeptember 10, 2014, 5:16 pm

    Ten new papers from the group are to appear at the 2014 conference on Advances in Neural Information Processing Systems (NIPS 2014), to be held in December in Montreal, Canada. The list of papers are: Gaussian Process Volatility Model.  Yue Wu, Jose Miguel Hernandez-Lobato, and Zoubin Ghahramani. General Table Completion using a Bayesian Nonparametric Model.  Isabel [...]

  • Facebook donates $200,000 to the Cambridge-Tuebingen PhD in Machine LearningAugust 4, 2014, 10:50 pm

    We are delighted to announce that Facebook has donated $200,000 to support our unique Cambridge-Tuebingen PhD in Machine Learning. The Cambridge-Tuebingen PhD Programme is a joint programme in Machine Learning between the University of Cambridge and the Max Planck Institute for Intelligent Systems in Tuebingen. We received well over 100 high quality applications from around [...]

  • The Automatic Statistician is OnlineJuly 23, 2014, 10:35 pm

    A first version of the Automatic Statistician is online at http://www.automaticstatistician.com.  The website describes the project, links to example automatic data analyses and has a simple demo where you can upload your own data sets.

  • Carl Rasmussen promoted to ProfessorJune 12, 2014, 10:54 am

    Congratulations to Carl Rasmussen on his promotion to the senior academic post of Professor in the Department of Engineering! The announcement in the reporter can be found here.

  • Ten new papers from the group to appear at ICML 2014 in BeijingApril 22, 2014, 9:47 pm

    Ten new papers from the group are to appear in the 31st International Conference on Machine Learning (ICML 2014), to be held in Beijing, China this June.  The list of papers are: David Lopez-Paz, Suvrit Sra, Alex Smola, Zoubin Ghahramani, and Bernhard Schölkopf.  ”Randomized Nonlinear Component Analysis.” Konstantina Palla, David A. Knowles, and Zoubin Ghahramani. [...]

  • Amar Shah wins Qualcomm Innovation FellowshipApril 9, 2014, 4:09 pm

    Congratulations to Amar Shah for winning a Qualcomm Innovation Fellowship!  The fellowship includes an amount of £10,000 to support the researcher for the academic year. Information about the fellowship can be found here.

Machine Learning Group @ The University of Cambridge

Group Members

Faculty

Post-docs

Visitors

Graduate Students

 Alumni 

 

Konstantina Palla (Post-Doc, University of Oxford)
Neil M. T. Houlsby (Google Research, Zurich)
Daniel M. Roy (Assistant Professor, University of Toronto)
Jose Miguel Hernandez-Lobato (Post-Doc, Harvard University)
David Duvenaud (Post-Doc, Harvard University)
Andrew G. Wilson (Post-Doc, Carnegie Mellon University)
Novi Quadrianto (Assistant Professor, University of Sussex)
David Knowles (Post-Doc, Stanford University)
Peter Orbanz (Assistant Professor, Columbia University)
Joaquin Quiñonero Candela (Director of Engineering, Facebook)
Jurgen Van Gael (Data Science Director, Rangespan, bought by Google)
Ryan P. Adams (Assistant Professor, Harvard University)
Karsten Borgwardt (Professor, ETH Zurich)
John P. Cunningham (Assistant Professor, Columbia University)
Marc Deisenroth (Lecturer, Imperial College London)
Finale Doshi-Velez (Assistant Professor, Harvard University)
Katherine Heller (Assistant Professor, Duke University)
Simon Lacoste-Julien (Researcher, INRIA/Ecole Normale Superior)
Iain Murray (Lecturer, University of Edinburgh)
Shakir Mohamed (DeepMind, bought by Google) 
Pedro Ortega (Postdoc, University of Pennsylvania)
Fernando Perez-Cruz (Associate Professor, University Carlos III, Madrid)
Ricardo Silva (Lecturer, University College London)
Ed Snelson (Researcher, Microsoft Research)
Fernando de la Torre (Associate Professor, Carnegie Mellon University)
Sinead Williamson (Assistant Professor, UT Austin)
Ryan Turner (Northrop Grumman)

 

Taught Courses

4F13: Machine Learning

Taught by Zoubin Ghahramani and Carl Rasmussen. Course web page.

Previous events

The 2009 Machine Learning Summer School was held in Cambridge on August 29th – September 10th.
Machine Learning Reading Group @ CUED
Machine Learning Seminar Group
Advanced Tutorial Lecture Series on Machine Learning
Non-Parametric Bayes Tutorial Course (October 9, 16 and 28, 2008)

Bayesian statistics in other labs

Machine Learning and Perception Group @ Microsoft Research Cambridge

Chris Bishop | Thore Graepel | Tom Minka

Statistical Laboratory

Phil Dawid | Richard Samworth | David Spiegelhalter

Computer Lab

Sean Holden

Signal Processing and Communications @ CUED

Simon Godsill | Sumeetpal Singh