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All publications by Mario Marchand
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Algorithms for the Hard Pre-Image Problem of String Kernels and the General Problem of String Prediction
Sébastien Giguère, Amélie Rolland, Francois Laviolette and Mario Marchand
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


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


Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks
Mario Marchand, Hongyu Su, Emilie Morvant, Juho Rousu and John S. Shawe-taylor
Advances in Neural Information Processing Systems 27, 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


Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets
Alexandre Lacoste, Françcois Laviolette and Mario Marchand
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


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


PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers
Françcois Laviolette and Mario Marchand
Journal of Machine Learning Research, 2007


Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data
Zakria Hussain, Françcois Laviolette, Mario Marchand, John Shawe-taylor, S. C. Brubaker and Matthew D. Mullin
Journal of Machine Learning Research, 2007


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


PAC-Bayes risk bounds for sample-compressed Gibbs classifiers
Françcois Laviolette and Mario Marchand
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


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


Learning with Decision Lists of Data-Dependent Features
Mario Marchand and Marina Sokolova
Journal of Machine Learning Research, 2005


PAC-Bayes Learning of Conjunctions and Classification of Gene-Expression Data
Mario Marchand and Mohak Shah
Advances in Neural Information Processing Systems 17, 2004


The Set Covering Machine with Data-Dependent Half-Spaces
Mario Marchand, Mohak Shah, John Shawe-taylor and Marina Sokolova
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


The Set Covering Machine
Mario Marchand and John Shawe-taylor
Journal of Machine Learning Research, 2002


The Decision List Machine
Marina Sokolova, Mario Marchand, Nathalie Japkowicz and John S. Shawe-taylor
Advances in Neural Information Processing Systems 15, 2002