| Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm P Germain, A Lacasse, F Laviolette, M Marchand, JF Roy Journal of Machine Learning Research 16, 787−860, 2015 | 166 | 2015 |
| PAC-Bayesian Bounds based on the Rényi Divergence L Bégin, P Germain, F Laviolette, JF Roy Proceedings of the Nineteenth International Conference on Artificial …, 2016 | 106 | 2016 |
| From PAC-Bayes bounds to quadratic programs for majority votes JF Roy, M Marchand, F Laviolette Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011 | 75* | 2011 |
| PAC-Bayesian Theory for Transductive Learning L Bégin, P Germain, F Laviolette, JF Roy Proceedings of the Seventeenth International Conference on Artificial …, 2014 | 56 | 2014 |
| SIGIR 2021 E-Commerce Workshop Data Challenge J Tagliabue, C Greco, JF Roy, B Yu, PJ Chia, F Bianchi, G Cassani arXiv preprint arXiv:2104.09423, 2021 | 28 | 2021 |
| A Column Generation Bound Minimization Approach with PAC-Bayesian Generalization Guarantees F Laviolette, M Marchand, JF Roy Proceedings of the Nineteenth International Conference on Artificial …, 2016 | 19* | 2016 |
| Risk upper bounds for general ensemble methods with an application to multiclass classification F Laviolette, E Morvant, L Ralaivola, JF Roy Neurocomputing 219, 15-25, 2017 | 17 | 2017 |
| Fast greedy C-bound minimization with guarantees B Bauvin, C Capponi, JF Roy, F Laviolette Machine Learning, 1-42, 2020 | 9 | 2020 |
| Apprentissage automatique avec garanties de généralisation à l'aide de méthodes d'ensemble maximisant le désaccord. JF Roy Québec, Québec]: Université Laval 2018, 2018 | 4 | 2018 |
| A Pseudo-Boolean Set Covering Machine P Germain, S Giguere, JF Roy, B Zirakiza, F Laviolette, CG Quimper Principles and Practice of Constraint Programming, 2012 | 4 | 2012 |
| On Generalizing the C-Bound to the Multiclass and Multi-label Settings F Laviolette, E Morvant, L Ralaivola, JF Roy NIPS 2014 Workshop on Representation and Learning Methods for Complex Outputs, 2014 | 3 | 2014 |
| CqBoost: A Column Generation Method for Minimizing the C-Bound F Laviolette, M Marchand, JF Roy NIPS Workshop on Optimization for Machine Learning, 2014 | 1 | 2014 |
| Efficient Learning of Ensembles with QuadBoost L Fortier-Dubois, F Laviolette, M Marchand, LE Robitaille, JF Roy arXiv preprint arXiv:1506.02535, 2015 | | 2015 |
| On the Generalization of the C-Bound to Structured Output Ensemble Methods F Laviolette, E Morvant, L Ralaivola, JF Roy arXiv preprint arXiv:1408.1336, 2014 | | 2014 |
| On the Generalization of the C-Bound to Multiclass Setting E Morvant, JF Roy, F Laviolette, L Ralaivola stat 1050, 6, 2014 | | 2014 |
Mario Marchandprofesseur d'informatique (retraité), Université LavalVerified email at ift.ulaval.ca
