Latest news

  • Twelve papers with MLG authors to appear at NIPS 2017September 18, 2017, 12:21 pm

    “Convolutional Gaussian Processes.”, Mark van der Wilk, Carl Edward Rasmussen and James Hensman – CHOSEN FOR AN ORAL PRESENTATION. “Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs.”, Rowan McAllister and Carl Edward Rasmussen “Real Time Image Saliency for Black Box Classifiers.” Piotr Dabkowski, Yarin Gal “What Uncertainties Do We Need in Bayesian Deep Learning for Computer [...]

  • Prize winning papers from MLG at ICML 2017August 10, 2017, 3:54 pm

    Several papers from MLG have won prizes at ICML 2017. Congratulations to everyone involved! Main Conference Track Best Paper Honourable Mention Matej Balog, Nilesh Tripuraneni, Zoubin Ghahramani, Adrian Weller Lost relatives of the Gumbel trick ICML Workshop on Human Interpretability in Machine Learning Best paper award Isabel Valera, Melanie Fernandez-Pradier, and Zoubin Ghahramani. General Latent [...]

  • Two Postdoctoral Research Positions Available in the Machine Learning GroupAugust 10, 2017, 3:45 pm

    We are seeking two highly creative and motivated Research Assistants/Associates to join the Machine Learning Group at the University of Cambridge. The positions are for up to 24 months with a possible extension. Details below! (Closing Date: 7 September 2017) (Closing Date: 7 September 2017) The two positions are funded by Samsung. The [...]

  • Ten papers with MLG authors to appear at ICML 2017June 1, 2017, 11:03 am

    Ten papers including authors from the Cambridge Machine Learning Group will appear at the International Conference for Machine Learning (ICML) 2017. They are: Li Y. and Gal Y. Dropout inference in Bayesian neural networks with alpha-divergences. Hernández-Lobato J. M., Requeima J., Pyzer-Knapp E. O. and Aspuru-Guzik A. Parallel and Distributed Thompson Sampling for Large-scale Accelerated [...]

  • Alessandro Ialongo awarded Qualcomm Innovation FellowshipMay 12, 2017, 5:16 pm

    MLG graduate student Alessandro Ialongo has been selected for the 2017 Qualcomm Innovation Fellowship. He was awarded $40,000 for his innovation proposal titled “Learning and Decision-Making for Autonomous Behaviour”. The fellowship also involves the assignment of a Qualcomm researcher as mentor to facilitate close collaboration and interaction with Qualcomm Research & Development.

  • Three recent papers from MLGMay 11, 2017, 3:56 pm

    We wish to highlight three recent papers led by members from the group. The text can be found on the authors’ personal pages. Mark Rowland, Aldo Pacchiano and Adrian Weller. Conditions beyond treewidth for tightness of higher-order LP relaxations International Conference on Artificial Intelligence and Statistics (AISTATS) 2017 Alexander G. de G. Matthews, Mark van [...]

  • Adrian Weller elected as David MacKay Newton Research FellowMarch 27, 2017, 9:09 am

    Prof Sir David MacKay was an amazing man, who until recently was part of our group. David was a terrific researcher and teacher in machine learning, and a passionate campaigner for social good through his work on energy. He passed away tragically last year. David was a fellow at Darwin College. With help from the [...]

  • Postdoc position to study Trust and Transparency aspects of Artificial IntelligenceNovember 29, 2016, 2:45 pm

    The Leverhulme Centre for the Future of Intelligence (CFI; and the Machine Learning Group ( ) at the University of Cambridge invite applications for a Postdoctoral Research Associate in the study of trust and transparency in Artificial Intelligence (AI). The appointment will be for 3 years. CFI is a new, highly interdisciplinary research centre [...]

  • Zoubin Ghahramani and Adrian Weller involved with the Centre for the Future of Intelligence, which was launched this week.October 26, 2016, 5:56 pm

    Zoubin Ghahramani and Adrian Weller are involved with the Leverhulme Centre for the Future of Intelligence which was launched this week. Professor Stephen Hawking gave a widely reported speech at the launch. Zoubin, who introduced the talk, is the Deputy Director of the Centre. Adrian is an Executive Fellow at the centre and is leading [...]

  • Zoubin Ghahramani discusses “Do we need Artificial Intelligence?” with the BBC world serviceOctober 26, 2016, 5:38 pm

    Prof. Zoubin Ghahramani has spoken to the BBC world service Forum radio show on the question: “Do we need artificial intelligence?”. The full show can be found here.

  • Shane Gu involved with Google Shared Experience robotics projectOctober 26, 2016, 5:23 pm

    Shane Gu was involved with a Google shared experience robotics project this summer. The project was written up on Google’s research blog and in the MIT technology review. Shane is the first author on one of the corresponding papers which can be found here.

  • A symposium and workshops at NIPS with MLG organisers.August 19, 2016, 9:28 am

    MLG members are involved with the organisation of one symposium and three workshops at NIPS. These are: Symposium Machine Learning and the Law Adrian Weller, Thomas D. Grant, Conrad McDonnell and Jat Singh Workshops Bayesian Deep Learning Yarin Gal, Christos Louizos, Zoubin Ghahramani, Kevin P Murphy and Max Welling Towards an Artificial Intelligence for Data [...]

  • Five new papers from the group to appear at NIPS 2016 in BarcelonaAugust 16, 2016, 2:16 pm

    Five new papers from the group are to appear at the 2016 conference on Advances in Neural Information Processing Systems (NIPS 2016), to be held in December in Barcelona, Spain. The list of papers are: Renyi Divergence Variational Inference Yingzhen Li and Rich Turner A Theoretically Grounded Application of Dropout in Recurrent Neural Networks Yarin [...]

  • Alex Matthews awarded by Google for his work on TensorFlowMay 24, 2016, 4:32 pm

    Alex Matthews has been given a software award from the Google Open Source Programs Office for his work on TensorFlow. The award is for “…people outside of Google that they thought were doing great things in the world of open source”, in particular for his work implementing Cholesky backpropagation. The work removes one of the [...]

  • Ten papers from the group to appear at ICML 2016April 27, 2016, 8:24 am

    Ten papers involving authors from MLG will appear at the International Conference on Machine Learning 2016. They are: Unitary Evolution Recurrent Neural Networks Martin Arjovsky, Amar Shah and Yoshua Bengio Predictive Entropy Search for Multi-objective Bayesian Optimization Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Amar Shah and Ryan P. Adams. Pareto Frontier Learning with Expensive Correlated Objectives [...]

Machine Learning Group @ The University of Cambridge

Group Members


Senior Researchers




David Lopez-Paz (Research Scientist, Facebook AI Research)
Matthew W. Hoffman (Research Scientist, Google DeepMind)
Creighton Heaukulani (Goldman Sachs)
Sara Wade (Assistant Professor, University of Warwick)
Yutian Chen (Research Scientist, Google DeepMind)
Felipe Tobar (Research Fellow, University of Chile)
Alex Davies (Software Engineer, Google)
Roger Frigola (Engineering Consultant)
James R. Lloyd (Head of Data Science, Qlearsite)
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, now Lecturer, Cambridge)
David Duvenaud (Assistant Professor, University of Toronto)
Andrew G. Wilson (Assistant Professor, Cornell 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, now at Facebook)
Ryan P. Adams (Assistant Professor, Harvard University, also at Twitter Cortex)
Karsten Borgwardt (Professor, ETH Zurich)
John P. Cunningham (Assistant Professor, Columbia University)
Marc Deisenroth (Lecturer, Imperial College London)
Ferenc Huszar (Magic Pony, now Machine Learning Research Lead, Twitter Cortex Vx)
Finale Doshi-Velez (Assistant Professor, Harvard University)
Katherine Heller (Assistant Professor, Duke University)
Simon Lacoste-Julien (Researcher, INRIA/Ecole Normale Superior)
Iain Murray (Reader, University of Edinburgh)
Shakir Mohamed (DeepMind, bought by Google) 
Pedro Ortega (Postdoc, University of Pennsylvania)
Fernando Perez-Cruz (Associate Professor, University Carlos III, Madrid, also at Bell Labs)
Ricardo Silva (Lecturer, University College London)
Ed Snelson (Microsoft Research, now Head of Applied 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