Jean-Yves Audibert

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Jean-Yves Audibert [1]

Jean-Yves Audibert,
a French statistician, computer scientist, and lecturer at École Normale Supérieure de Cachan and École nationale des ponts et chaussées [2]. His research topics include machine learning, specially Probably approximately correct (PAC) learning, Multi-armed bandits, Non-parametric statistics, Sequential prediction [3] with limited feedback and Computer vision. Jean-Yves Audibert is contributor to the Go playing program Mogo, using Monte-Carlo Tree Search which uses patterns in the simulations and improvements in UCT [4].

Selected Publications

[5] [6]

2004 ...

2010 ...

External Links


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