Alexandre Lacasse

Publications by Year

Research Areas

Machine Learning and Algorithms, Statistical Methods and Inference, Algorithms and Data Compression, Adversarial Robustness in Machine Learning, Markov Chains and Monte Carlo Methods

Most-Cited Works

• → PAC-Bayesian learning of linear classifiers(2009)176 cited
• → Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm(2015)89 cited
• → PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier(2007)77 cited
• From PAC-Bayes Bounds to KL Regularization(2009)
• Bornes PAC-Bayes et algorithmes d'apprentissage(2010)
• → A PAC-Bayes Risk Bound for General Loss Functions(2007)9 cited
• → A Selective Sampling Strategy for Label Ranking(2006)7 cited
• → Learning with Randomized Majority Votes(2010)3 cited
• → A combinatorial conjecture from PAC-Bayesian machine learning(2020)
• PAC-Bayes Bounds for the Risk of the Majority Vote(2006)