Upcoming Events

TitleModel sparsity and brain pattern interpretation of classification models in neuroimaging
Andre Marquand
TypeReading Group
Date Wednesday, 23 May 2012
Time16:00 - 17:00
Loc.Foster Court 216
TitleOptimal control and model-free Reinforcement Learning as KL minimization
Marc Toussaint
TypeSeminar
Date Wednesday, 23 May 2012
Time16:00 - 17:00
Loc.B10, Alexandra House
TitleEfficient MCMC for Continuous Time Discrete State Systems
Vinayak Rao
TypeLunch Talk
Date Friday, 25 May 2012
Time12:30 - 14:00
Loc.Darwin B15 Biochemistry LT
CSML Logo

The Centre for Computational Statistics and Machine Learning (CSML) spans three departments at University College London, Computer Science, Statistical Science, and the Gatsby Computational Neuroscience Unit.

The Centre will pioneer an emerging field that brings together statistics, the recent extensive advances in theoretically well-founded machine learning, and links with a broad range of application areas drawn from across the college, including neuroscience, astrophysics, biological sciences, complexity science, etc. There is a deliberate intention to maintain and cultivate a plurality of approaches within the centre including Bayesian, frequentist, on-line, statistical, etc.

News

Two New Papers by CSML Members

Two papers of CSML members Prof. Mark Girolami and Dr. Arthur Gretton have recently been published. These two are the first papers to carry the official CSML affiliation.

CSML on Facebook and Twitter

CSML now has a Facebook page and a Twitter account where news and events are announced. So like CSML on Facebook, follow @uclcsml and spread the word!

Collaboration between ISM and CSML

The Institute of Statistical Mathematics (ISM) in Tokyo and CSML have signed an agreement to undertake academic and collaboration to develop mutually beneficial, creative and productive scholarly activities in the field of statistical machine learning. Professor Shiro Ikeda from ISM visited UCL this week to officially sign the agreement, here seen with the Dean of MAPS Richard Catlow, Ricardo Silva and Mark Girolami both from CSML. This is an important agreement and opens a number of new developing collaborations between UCL and ISM.

One collaboration currently underway is on the application of kernel methods from machine learning to problems in statistics (hypothesis testing and Bayesian inference), undertaken by Professor Fukumizu at the department of statistical modelling at ISM, and Arthur Gretton at the Gatsby Unit.