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All publications by Pascal Germain
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A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers
Pascal Germain, Amaury Habrard, Franois Laviolette and Emilie Morvant
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


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


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