Search Machine Learning Repository:
All publications by François Laviolette
authors venues years



Agnostic Bayesian Learning of Ensembles
Alexandre Lacoste, Mario Marchand, François Laviolette and Hugo Larochelle
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction
Sébastien Gigu\`ere, Mario Marchand, Khadidja Sylla and François Laviolette
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


PAC-Bayesian Analysis of Contextual Bandits
Yevgeny Seldin, Peter Auer, John S. Shawe-taylor, Ronald Ortner and François Laviolette
Advances in Neural Information Processing Systems 24, 2011


From PAC-Bayes Bounds to Quadratic Programs for Majority Votes
Jean-francis Roy, Mario Marchand and François Laviolette
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


A PAC-Bayes Sample-compression Approach to Kernel Methods
Pascal Germain, Alexandre Lacoste, Mario Marchand, Sara Shanian and François Laviolette
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


PAC-Bayesian learning of linear classifiers
Pascal Germain, Alexandre Lacasse, Mario Marchand and François Laviolette
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


From PAC-Bayes Bounds to KL Regularization
Pascal Germain, Alexandre Lacasse, Mario Marchand, Sara Shanian and François Laviolette
Advances in Neural Information Processing Systems 22, 2009


A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning
Massih Amini, Nicolas Usunier and François Laviolette
Advances in Neural Information Processing Systems 21, 2008


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 and Nicolas Usunier
Advances in Neural Information Processing Systems 19, 2006


A PAC-Bayes Risk Bound for General Loss Functions
Pascal Germain, Alexandre Lacasse, François Laviolette and Mario Marchand
Advances in Neural Information Processing Systems 19, 2006


A PAC-Bayes approach to the Set Covering Machine
François Laviolette, Mario Marchand and Mohak Shah
Advances in Neural Information Processing Systems 18, 2005