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MLSS 2011 - Bordeaux   

Machine Learning Summer School (MLSS ), Bordeaux 2011

The school provides tutorials and practical sessions on basic and advanced topics of machine learning by leading researchers in the field. The summer school is intended for students, young researchers and industry practitioners with an interest in machine learning and a strong mathematical background.

The school addresses the following topics: Learning Theory, Bayesian inference, Monte Carlo Methods, Sparse Methods, Reinforcement Learning, Robot Learning, Boosting, Kernel Methods, Bayesian Nonparametrics, Convex Optimization and Graphical Models.

Detailed information can be found at the summer school homepage.


Invited Talks


Reviews and comments:

Comment1 Pierre Machart, November 14, 2011 at 4:33 p.m.:

Where is Robert Schapire ?

Comment2 Sandra, September 3, 2018 at 1:11 p.m.:

The MLSS is a course promulgating modern methods of statistical machine learning and inference. While students and professionals are eager to learn about machine learning, only few machine learning courses are taught at universities.

Comment3 maerk, December 21, 2021 at 3:53 a.m.:

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