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ORCIDFrançois Laviolette
- > Home > Persons > François Laviolette
Publications
- 2023
[c55]Louis Fortier-Dubois, Benjamin Leblanc, Gaël Letarte, François Laviolette, Pascal Germain:
PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations. Canadian AI 2023- 2021
- [i32]Louis Fortier-Dubois, Gaël Letarte, Benjamin Leblanc, François Laviolette, Pascal Germain:
Learning Aggregations of Binary Activated Neural Networks with Probabilities over Representations. CoRR abs/2110.15137 (2021) - 2020
- [j26]Pascal Germain
, Amaury Habrard, François Laviolette, Emilie Morvant:
PAC-Bayes and domain adaptation. Neurocomputing 379: 379-397 (2020) - [i27]Yann Pequignot, Mathieu Alain, Patrick Dallaire, Alireza Yeganehparast, Pascal Germain, Josée Desharnais, François Laviolette:
Implicit Variational Inference: the Parameter and the Predictor Space. CoRR abs/2010.12995 (2020) - 2019
- [c49]Gaël Letarte, Pascal Germain, Benjamin Guedj, François Laviolette:
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks. NeurIPS 2019: 6869-6879 - [i26]Gaël Letarte, Pascal Germain, Benjamin Guedj, François Laviolette:
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks. CoRR abs/1905.10259 (2019) - 2017
- [p1]Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, Victor S. Lempitsky:
Domain-Adversarial Training of Neural Networks. Domain Adaptation in Computer Vision Applications 2017: 189-209 - 2016
- [j22]Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, Victor S. Lempitsky:
Domain-Adversarial Training of Neural Networks. J. Mach. Learn. Res. 17: 59:1-59:35 (2016) - [c42]Luc Bégin, Pascal Germain, François Laviolette, Jean-Francis Roy:
PAC-Bayesian Bounds based on the Rényi Divergence. AISTATS 2016: 435-444 - [c40]Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant:
A New PAC-Bayesian Perspective on Domain Adaptation. ICML 2016: 859-868 - 2015
- [j21]Pascal Germain, Alexandre Lacasse, François Laviolette, Mario Marchand, Jean-Francis Roy:
Risk bounds for the majority vote: from a PAC-Bayesian analysis to a learning algorithm. J. Mach. Learn. Res. 16: 787-860 (2015) - [i17]Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant:
An Improvement to the Domain Adaptation Bound in a PAC-Bayesian context. CoRR abs/1501.03002 (2015) - [i16]Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant:
PAC-Bayesian Theorems for Domain Adaptation with Specialization to Linear Classifiers. CoRR abs/1503.06944 (2015) - [i15]Pascal Germain, Alexandre Lacasse, François Laviolette, Mario Marchand, Jean-Francis Roy:
Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm. CoRR abs/1503.08329 (2015) - [i13]Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, Victor S. Lempitsky:
Domain-Adversarial Training of Neural Networks. CoRR abs/1505.07818 (2015) - [i11]Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant:
A New PAC-Bayesian Perspective on Domain Adaptation. CoRR abs/1506.04573 (2015) - 2014
- [c34]Luc Bégin, Pascal Germain, François Laviolette, Jean-Francis Roy:
PAC-Bayesian Theory for Transductive Learning. AISTATS 2014: 105-113 - [i7]Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand:
Domain-Adversarial Neural Networks. CoRR abs/1412.4446 (2014) - 2013
- [c29]Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant:
A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers. ICML (3) 2013: 738-746 - 2012
- [c27]Pascal Germain, Sébastien Giguère, Jean-Francis Roy, Brice Zirakiza, François Laviolette, Claude-Guy Quimper:
A Pseudo-Boolean Set Covering Machine. CP 2012: 916-924 - [i5]Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant:
PAC-Bayesian Learning and Domain Adaptation. CoRR abs/1212.2340 (2012) - 2011
- [c22]Pascal Germain, Alexandre Lacoste, François Laviolette, Mario Marchand, Sara Shanian:
A PAC-Bayes Sample-compression Approach to Kernel Methods. ICML 2011: 297-304 - 2009
- [c16]Pascal Germain, Alexandre Lacasse, François Laviolette, Mario Marchand:
PAC-Bayesian learning of linear classifiers. ICML 2009: 353-360 - [c15]Pascal Germain, Alexandre Lacasse, François Laviolette, Mario Marchand, Sara Shanian:
From PAC-Bayes Bounds to KL Regularization. NIPS 2009: 603-610 - 2006
- [c6]Pascal Germain, Alexandre Lacasse, François Laviolette, Mario Marchand:
A PAC-Bayes Risk Bound for General Loss Functions. NIPS 2006: 449-456 - [c5]Alexandre Lacasse, François Laviolette, Mario Marchand, Pascal Germain, Nicolas Usunier:
PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier. NIPS 2006: 769-776
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