Lacasse, Alexandre

7 publications

JMLR 2015 Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm Pascal Germain, Alexandre Lacasse, Francois Laviolette, Mario March, Jean-Francis Roy

ECML-PKDD 2010 Learning with Randomized Majority Votes Alexandre Lacasse, François Laviolette, Mario Marchand, Francis Turgeon-Boutin

NeurIPS 2009 From PAC-Bayes Bounds to KL Regularization Pascal Germain, Alexandre Lacasse, Mario Marchand, Sara Shanian, François Laviolette

ICML 2009 PAC-Bayesian Learning of Linear Classifiers Pascal Germain, Alexandre Lacasse, François Laviolette, Mario Marchand

NeurIPS 2006 A PAC-Bayes Risk Bound for General Loss Functions Pascal Germain, Alexandre Lacasse, François Laviolette, Mario Marchand

ECML-PKDD 2006 A Selective Sampling Strategy for Label Ranking Massih-Reza Amini, Nicolas Usunier, François Laviolette, Alexandre Lacasse, Patrick Gallinari

NeurIPS 2006 PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier Alexandre Lacasse, François Laviolette, Mario Marchand, Pascal Germain, Nicolas Usunier