Publications

Luc Bégin, Pascal Germain, François Laviolette and Jean-Francis Roy. PAC-Bayesian Theory for Transductive Learning. International Conference on Artificial Intelligence and Statistics (AISTATS), 2014. [ PDF, Supplementary Material, Abstract ]
[ Poster ] [ Source Code ]

Pascal Germain, Sébastien Giguère, Jean-Francis Roy, Brice Zirakiza, François Laviolette, and Claude-Guy Quimper. A Pseudo-Boolean Set Covering Machine. In Proceedings of the 18th International Conference on Principles and Practice of Constraint Programming. M. Milano (Ed.): CP 2012, LNCS 7514, pp. 916–924. Springer, Heidelberg (2012).

François Laviolette, Mario Marchand, and Jean-Francis Roy. From PAC-Bayes Bounds to Quadratic Programs for Majority Votes. In Proceedings of the 28th International Conference on Machine Learning, Bellevue, WA, USA, June 2011. [ bib | .pdf | Extended version | Source Code | MinCq source code documentation ]