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Jean-Francis Roy
Jean-Francis Roy
R&D Director - Machine Learning, Coveo
Verified email at ift.ulaval.ca
Title
Cited by
Year
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
312021
Fast greedy C-bound minimization with guarantees
B Bauvin, C Capponi, JF Roy, F Laviolette
Machine Learning, 1-42, 2020
92020
Apprentissage automatique avec garanties de généralisation à l'aide de méthodes d'ensemble maximisant le désaccord.
JF Roy
Québec, Québec]: Université Laval 2018, 2018
42018
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
192017
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
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
1082016
Efficient Learning of Ensembles with QuadBoost
L Fortier-Dubois, F Laviolette, M Marchand, LE Robitaille, JF Roy
arXiv preprint arXiv:1506.02535, 2015
2015
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
1712015
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
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
32014
CqBoost: A Column Generation Method for Minimizing the C-Bound
F Laviolette, M Marchand, JF Roy
NIPS Workshop on Optimization for Machine Learning, 2014
12014
PAC-Bayesian Theory for Transductive Learning
L Bégin, P Germain, F Laviolette, JF Roy
Proceedings of the Seventeenth International Conference on Artificial …, 2014
562014
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
42012
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
76*2011
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