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summer schools: --> machine learning in cambridge 

http://mlg.eng.cam.ac.uk/mlss09/registration.htm

Tutorial Lectures Speaker Talk Title Christopher Bishop Introduction to Bayesian Inference Zoubin Ghahramani Graphical Models David MacKay Information Theory Iain Murray Markov Chain Monte Carlo Bernhard Schölkopf Kernel Methods Michael Littman Reinforcement Learning Carl Edward Rasmussen Gaussian Processes John Shawe-Taylor Learning Theory Lieven Vandenberghe Convex Optimization Andrew Blake Computer Vision David Blei Topic Models Tom Minka Approximate Inference Yee Whye Teh Nonparametric Bayesian Models Josh Tenenbaum Machine Learning and Cognitive Science Geoffrey Hinton TBA Simon Godsill Particle Filters Phil Dawid Causality Thomas Hofmann Information Retrival Peter Orbanz Foundations of Nonparametric Bayesian Methods Michael Jordan TBA

Practicals Speaker Course Title Joaquin Quiñonero Candela Gaussian Processes Andrew Fitzgibbon Computer Vision John Winn & Tom Minka Probabilistic Programming Iain Murray Markov Chain Monte Carlo