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Bandit view on noisy optimization Audibert J.-Y. et al Dans Optimization for Machine Learning (2011) 431-454 [hal-00654324 - version 1]

Fast learning rates for plug-in classifiers under the margin condition Audibert J.-Y. et al [hal-00005882 - version 3] (24/05/2011)

Minimax Policies for Combinatorial Prediction Games Audibert J.-Y. et al Dans Proceedings of COLT 2011 - COLT - 24th Conference on Learning Theory - 2011, Hongrie (2011) [hal-00624463 - version 1]

Deviations of Stochastic Bandit Regret Salomon A. et al Dans Proceedings of ALT 2011 - ALT'11 - Algorithmic Learning Theory, Finlande (2011) [hal-00624461 - version 1]

Semantic hierarchies for image annotation: A survey Tousch A.-M. et al Pattern Recognition 45, 1 (2011) 333-345 [hal-00624460 - version 1]

Supplement to "Robust linear least squares regression" Audibert J.-Y. et al Annals of Statistics 39, 5 (2011) 19 p. [hal-00624459 - version 1]

Robust linear least squares regression Audibert J.-Y. et al Annals of Statistics 39, 5 (2011) 2766-2794 [hal-00522534 - version 2]

PAC-Bayesian aggregation and multi-armed bandits Audibert J.-Y. [tel-00536084 - version 1]

Linear regression through PAC-Bayesian truncation Audibert J.-Y. et al [hal-00522536 - version 2] (11/09/2011)

Risk bounds in linear regression through PAC-Bayesian truncation Audibert J.-Y. et al [hal-00360268 - version 2] (03/07/2010)

Fast learning rates in statistical inference through aggregation Audibert J.-Y. [hal-00139030 - version 2] (04/03/2008)

No fast exponential deviation inequalities for the progressive mixture rule Audibert J.-Y. [hal-00139018 - version 1] (2007-03-28)