CSML Joint Seminar Series

For the 2011/2012 academic year, the Computational Statistics and Machine Learning Seminar Series will meet on Thursdays from 1.00pm to 2.00pm. Emphasis and location will rotate between Statistical Science, Gatsby and Computer Science. Additional seminars may be held at different times. Anyone interested is welcome, but staff and students of CS, Statistics and Gatsby departments are particularly encouraged to attend and contribute.

Usual time: Thursday, 13:00 - 14:00
Location (unless otherwise noted): Rotates between Statistics, CS, and Gatsby
iCalendar URL: www.csml.ac.uk/ics/series/4

Upcoming Events

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Previous Events

DateDescription
Thu, 03 May 2012 Andrew Walden (Imperial College): Rotary Components and the Kinematics of Complex-Valued Time Series
Fri, 20 Apr 2012 Julien Bohne (Safran Morpho): Fingerprint matching using factor graphs
Fri, 23 Mar 2012 Nick Jones (Imperial College): What does our data look like?
Thu, 22 Mar 2012 Takashi Shibata (Tokyo Metropolitan University): Investment timing under financing constraint with bank and market debt
Thu, 15 Mar 2012 Darren Wilkinson (Newcastle University): Bayesian inference for Markov processes with application to biochemical network dynamics
Thu, 08 Mar 2012 Vladimir Vovk (Royal Holloway, University of London): Conformal prediction and testing exchangeability on-line
Thu, 01 Mar 2012 Andreas Krause (ETH Zurich): Sequential Decision Making in Experimental Design and Sustainability via Adaptive Submodularity
Thu, 23 Feb 2012 Nikos Vlassis (Luxembourg Centre for Systems Biomedicine, University of Luxembourg): On the computational complexity of stochastic controller optimization in POMDPs
Mon, 20 Feb 2012 Alexandra Carpentier (INRIA): Bandit Theory and its applications to Active Learning and Stratified Monte-Carlo
Thu, 16 Feb 2012 Shiro Ikeda (The Institute of Statistical Mathematics): Sparse Phase Retrieval
Thu, 16 Feb 2012 Wouter Koolen (Royal Holloway, University of London): Combining initial segments of lists
Thu, 09 Feb 2012 Yuri Kalnishkan (Royal Holloway, University of London): An Identity for Kernel Ridge Regression