Olivier Cappé/ Publications/ 2010

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  • S. Filippi, O. Cappé, A. Garivier, and C. Szepesvari. Parametric bandits: The generalized linear case. In Adv. Neural Inf. Process. Syst. (NIPS), December 2010.
  • S. Filippi, O. Cappé, and A. Garivier. Optimism in reinforcement learning and Kullback-Leibler divergence. In Allerton Conference on Communication, Control, and Computing, Monticello, US, September 29 – October 1 2010. (DOI)
  • O. Cappé. Discussion of 'Particle Markov chain Monte Carlo methods' by C. Andrieu, A. Doucet and R. Holenstein. J. Royal Statist. Soc. B, 72(3):269–342, 2010.
  • S. Filippi, O.Cappé, A. Garivier, and C. Szepesvari. Bandits contextuels : apprentissage par renforcement dans les modèles linéaires généralisés. In 5èmes Journées Francophones de Planification, Décision et Apprentissage pour la conduite de systèmes (JFPDA), 2010.
  • T. Lavergne, O. Cappé, and F. Yvon. Practical very large scale CRFs. In Proc. 48th Annual Meeting Association for Computational Linguistics (ACL), pages 504–513, Uppsala, Sweden, July 2010.
  • M. Kilbinger, D. Wraith, C. P. Robert, K. Benabed, O. Cappé, J-F. Cardoso, G. Fort, S. Prunet, and F. R. Bouchet. Bayesian model comparison in cosmology with population Monte Carlo. MNRAS, 45:2381–2390, 2010. (DOI)
  • N. Sokolovska, T. Lavergne, O. Cappé, and F. Yvon. Efficient learning of sparse conditional random fields for supervised sequence labelling. IEEE J. Sel. Topics Signal Process., 4(6):953–964, December 2010. (DOI)
Last edited 13 nov. 2024