JeanYves 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].
2004 …
- Jean-Yves Audibert (2004). PAC-Bayesian Statistical Learning Theory. Ph.D. thesis, Université Paris VI, pdf, slides as pdf
- Jean-Yves Audibert, Rémi Munos, Csaba Szepesvári (2007). Tuning Bandit Algorithms in Stochastic Environments. pdf
- Yizao Wang, Jean-Yves Audibert, Rémi Munos (2008). Algorithms for Infinitely Many-Armed Bandits, , Advances in Neural Information Processing Systems, pdf, Supplemental material - pdf
- Jean-Yves Audibert, Rémi Munos, Csaba Szepesvári (2009). Exploration-exploitation trade-off using variance estimates in multi-armed bandits. Theoretical Computer Science, 410:1876-1902, 2009, pdf
2010 …
- Jean-Yves Audibert (2010). PAC-Bayesian aggregation and multi-armed bandits. Habilitation thesis, Université Paris Est, pdf, slides as pdf
- Jean-Yves Audibert, Sébastien Bubeck, Gábor Lugosi (2013). Regret in Online Combinatorial Optimization. arXiv:1204.4710v2
External Links
References
- ↑ Jean-Yves Audibert - Homepage
- ↑ Jean-Yves Audibert - Teaching
- ↑ Sequential Prediction from RoboWiki
- ↑ MoGo: a software for the Game of Go
- ↑ Jean-Yves Audibert - Publications
- ↑ dblp: Jean-Yves Audibert
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