Jean-Francis Roy

12 papers A* 1A 4Journal 7
YearRankTypeTitle / Venue / Authors
2021 J jnl
SIGIR 2021 E-Commerce Workshop Data Challenge.
CoRR
Jacopo Tagliabue, Ciro Greco, Jean-Francis Roy, Bingqing Yu, Patrick John Chia, Federico Bianchi, Giovanni Cassani
2020 J jnl
Fast greedy
Mach. Learn.
Baptiste Bauvin, Cécile Capponi, Jean-Francis Roy, François Laviolette
2017 J jnl
Risk upper bounds for general ensemble methods with an application to multiclass classification.
Neurocomputing
François Laviolette, Emilie Morvant, Liva Ralaivola, Jean-Francis Roy
2016 A conf
A Column Generation Bound Minimization Approach with PAC-Bayesian Generalization Guarantees.
AISTATS
Jean-Francis Roy, Mario Marchand, François Laviolette
2016 A conf
PAC-Bayesian Bounds based on the Rényi Divergence.
AISTATS
Luc Bégin, Pascal Germain, François Laviolette, Jean-Francis Roy
2015 J jnl
Efficient Learning of Ensembles with QuadBoost.
CoRR
Louis Fortier-Dubois, François Laviolette, Mario Marchand, Louis-Émile Robitaille, Jean-Francis Roy
2015 J jnl
On Generalizing the C-Bound to the Multiclass and Multi-label Settings.
CoRR
François Laviolette, Emilie Morvant, Liva Ralaivola, Jean-Francis Roy
2015 J jnl
Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm.
CoRR
Pascal Germain, Alexandre Lacasse, François Laviolette, Mario Marchand, Jean-Francis Roy
2015 J jnl
Risk bounds for the majority vote: from a PAC-Bayesian analysis to a learning algorithm.
J. Mach. Learn. Res.
Pascal Germain, Alexandre Lacasse, François Laviolette, Mario Marchand, Jean-Francis Roy
2014 A conf
PAC-Bayesian Theory for Transductive Learning.
AISTATS
Luc Bégin, Pascal Germain, François Laviolette, Jean-Francis Roy
2012 A conf
A Pseudo-Boolean Set Covering Machine.
CP
Pascal Germain, Sébastien Giguère, Jean-Francis Roy, Brice Zirakiza, François Laviolette, Claude-Guy Quimper
2011 A* conf
From PAC-Bayes Bounds to Quadratic Programs for Majority Votes.
ICML
Jean-Francis Roy, François Laviolette, Mario Marchand