Latest news

  • Review article published in Nature on Probabilistic machine learning and AINovember 4, 2015, 1:28 pm

    Zoubin Ghahramani has published a review article in Nature on “Probabilistic machine learning and artificial intelligence” as part of a special issue on Machine Intelligence. This article provides an introduction to the probabilistic framework for designing machines that learn from data, and describes several areas at the frontier of the field, namely, probabilistic programming, Bayesian [...]

  • Call for applications: Cambridge-Tübingen PhD Fellowships in Machine LearningOctober 19, 2015, 9:33 am

    We are pleased to announce the Cambridge-Tübingen PhD fellowships between the University of Cambridge Machine Learning Group and the Max Planck Institute for Intelligent Systems Empirical Inference Department in Tübingen. Please see the fellowship webpage and our PhD Admissions FAQ page for more information.

  • James Lloyd leads team to victory in AutoML competitionSeptember 16, 2015, 1:19 pm

    James Lloyd has led team backstreet.bayes to a 1st place performance in the second round of the AutoML challenge. The challenge was to design machine learning methods capable of performing all model selection and parameter tuning without any human intervention. This round of the competition required participants to submit code that would produce predictions for five new multiclass [...]

  • Seven new papers from the group to appear at NIPS 2015 in MontrealSeptember 8, 2015, 3:34 pm

    Seven new papers from the group are to appear at the 2015 conference on Advances in Neural Information Processing Systems (NIPS 2015), to be held in December in Montreal, Canada. The list of papers are: Statistical Model Criticism using Kernel Two Sample Tests James Lloyd and Zoubin Ghahramani MCMC for Variationally Sparse Gaussian Processes James [...]

  • Professor Zoubin Ghahramani elected Fellow of the Royal SocietyJune 17, 2015, 10:45 am

    Congratulations to Prof. Zoubin Ghahramani, who has been elected as a Fellow of the Royal Society. His nomination reads: ‘Zoubin Ghahramani is a world leader in the field of machine learning, significantly advancing the state-of-the-art in algorithms that can learn from data. He is known in particular for fundamental contributions to probabilistic modeling and Bayesian [...]

  • Thang D. Bui Receives Google European Doctoral FellowshipJune 8, 2015, 10:29 am

    PhD student Thang D. Bui wins prestigious Google Europe Doctoral Fellowship in Speech Technology. This year 15 fellowships were awarded to new doctoral students across Europe. From the ‘Research at Google’ website: “In 2009, Google created the PhD Fellowship program to recognize and support outstanding graduate students doing exceptional work in Computer Science and related [...]

  • Dr Richard Turner Receives CUSU Teaching AwardMay 28, 2015, 10:42 am

    Congratulations to Richard on winning the Cambridge University Students’ Union Student-Led Teaching Award. This is an award across the entirety of Cambridge with 265 nominations. The nomination for Richard stated that he is “a brilliant lecturer … able to explain complex ideas in very clear language that students are able to relate to … Perhaps [...]

  • Yarin Gal and Mark van der Wilk Receive Qualcomm FellowshipsMay 11, 2015, 8:27 pm

    Yarin and Mark were awarded a £10,000 prize each by Qualcomm for their innovation proposals titled “Scalable Probabilistic Representation Learning” (Yarin), and “Variational Inference and Kernel Bayes Rule” (Mark). Their award also includes an assignment of a Qualcomm researcher as mentor to facilitate close collaboration and interaction with Qualcomm Corporate Research & Development.

  • 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 [...]

Machine Learning Group @ The University of Cambridge

Group Members






Maxim Rabinovich (PhD Student, UC Berkeley)
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 | Tom Minka

Statistical Laboratory

Phil Dawid | Richard Samworth | David Spiegelhalter

Computer Lab

Sean Holden

Signal Processing and Communications @ CUED

Simon Godsill | Sumeetpal Singh