• Sarah Filippi, Olivier Cappé, Aurélien Garivier, and Csaba Szepesvári. Parametric bandits: The generalized linear case. In Adv. Neural Inf. Process. Syst. (NIPS), December 2010.
• Sarah Filippi, Olivier Cappé, and Aurélien 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)
• Olivier 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.
• Sarah Filippi, Olivier Cappé, Aurélien Garivier, and Csaba Szepesvári. 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.
• Thomas Lavergne, Olivier Cappé, and François Yvon. Practical very large scale CRFs. In Proc. 48th Annual Meeting Association for Computational Linguistics (ACL), pages 504–513, Uppsala, Sweden, July 2010.
• Martin Kilbinger, Darren Wraith, Christian P. Robert, Karim Benabed, Olivier Cappé, Jean-François Cardoso, Gersende Fort, Simon Prunet, and François Bouchet. Bayesian model comparison in cosmology with population Monte Carlo. MNRAS, 45:2381–2390, 2010. (DOI)
• Nataliya Sokolovska, Thomas Lavergne, Olivier Cappé, and François 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)