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Jean-Yves Audibert,
a French statistician, computer scientist, and lecturer at École Normale Supérieure de Cachan and École nationale des ponts et chaussées [1]. His research topics include machine learning, specially Probably approximately correct (PAC) learning, Multi-armed bandits, Non-parametric statistics, Sequential prediction [2] 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 [3].
Jean-Yves Audibert [4]

Selected Publications

[5][6]

2004 ...

2010 ...


External Links


References

  1. ^ Jean-Yves Audibert - Teaching
  2. ^ Sequential Prediction from RoboWiki
  3. ^ MoGo: a software for the Game of Go
  4. ^ Jean-Yves Audibert - Homepage
  5. ^ Jean-Yves Audibert - Publications
  6. ^ DBLP: Jean-Yves Audibert

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