Latest news

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

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

  • 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 [...]

  • New faculty member Dr. José Miguel Hernández-LobatoApril 25, 2016, 8:00 am

    We are delighted to announce that Dr. José Miguel Hernández-Lobato will join Cambridge MLG as a University Lecturer in Machine Learning later this year. Miguel joins us from Harvard and has a broad range of interests in probabilistic machine learning. For more details see his website.

  • Cambridge MLG heavily involved with the new Alan Turing InstituteApril 25, 2016, 7:59 am

    Cambridge Machine Learning Group has a strong involvement with the new Alan Turing Institute. The ATI is the national institute for research in Data Science and is headquartered in London. It brings together researchers from five top British universities: the Universities of Cambridge, Edinburgh, Oxford, and Warwick, and University College London. Our own Prof. Zoubin [...]

  • Yarin Gal awarded Research Fellowship at St Catherine’s College, CambridgeMarch 24, 2016, 1:44 pm

    Well done to Yarin Gal who has been awarded the Michael and Morven Heller Research Fellowship at St Catherine’s College, Cambridge. The fellowship is awarded to “… exceptional candidates in the field of Computer Science including those who will apply Computer Science to ‘big data’ in all fields including biomedical sciences generally.”

  • Microsoft Research and Cambridge MLG joint workshop, March 18thMarch 2, 2016, 10:28 am

    Microsoft Research, Cambridge and the University of Cambridge Machine Learning Group have organized a Machine Learning and Artificial Intelligence workshop on Friday March 18th 2016 at the public facilities of Microsoft Research Cambridge. The day will feature talks from both research groups and representatives of local startups. Attendance is open to the public but requires [...]

  • Three postdoc positions in machine learning at the University of CambridgeFebruary 29, 2016, 11:44 am

    We are seeking up to three highly creative and motivated Postdoctoral Research Assistants/Associates to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. All positions will involve research in direct collaboration with Professor Zoubin Ghahramani. Post 1: Building an Automatic Statistician and Probabilistic Programming. This post holder will be working [...]

  • James Lloyd and Alex Davies help create the world’s first computer-generated musicalJanuary 25, 2016, 9:22 am

    MLG alumni Dr James Robert Lloyd and Dr Alex Davies have helped create the world’s first musical largely created by computer, in work which began whilst they were in Cambridge. Together with Professor Sir David Spiegelhalter they began by analysing factors associated with success and failure in musical theatre. This analysis was then used to [...]

  • Five papers from the group to appear at AISTATS 2016January 18, 2016, 2:02 pm

    Five new papers from the group are to appear at the 2016 International Conference on Artificial Intelligence and Statistics (AISTATS) to be held in May in Cadiz, Spain. The list of papers are: Jes Frellsen, Ole Winther, Zoubin Ghahramani, Jesper Ferkinghoff-Borg. Bayesian generalised ensemble Markov chain Monte Carlo. Alexander G. de G. Matthews, James Hensman, [...]

  • Knighthood for David MacKayJanuary 4, 2016, 10:27 am

    Congratulations to Professor David MacKay who has been awarded a Knighthood in the 2016 New Years honours list. More information on the story can be found here.

  • Faculty Position in Machine LearningJanuary 4, 2016, 9:31 am

    The University of Cambridge is inviting applications for a faculty position in the Machine Learning group. The position also offers the opportunity to participate in the newly established national Alan Turing Institute for Data Science (turing.ac.uk). Application instructions at: http://www.jobs.cam.ac.uk/job/8737/ The closing date for applications is 11 January 2016.

  • Zoubin Ghahramani appointed Deputy Director of the new Leverhulme Centre for the Future of IntelligenceJanuary 4, 2016, 9:27 am

    The University of Cambridge has announced a new research centre thanks to a £10 million grant from the Leverhulme Trust. Zoubin Ghahramani has been appointed as Deputy Director. According to Zoubin: “The field of machine learning continues to advance at a tremendous pace, and machines can now achieve near-human abilities at many cognitive tasks—from recognising [...]

  • 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 [...]

Machine Learning Group @ The University of Cambridge

Group Members

Faculty

Post-docs

Visitors

 Alumni 

 

David Lopez-Paz (Postdoc, Facebook AI Research)
Matthew W. Hoffman (Research Scientist, Google DeepMind)
Creighton Heaukulani (Researcher, 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, Thread.com)
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