Morvant, Emilie

15 publications

MLJ 2024 A General Framework for the Practical Disintegration of PAC-Bayesian Bounds Paul Viallard, Pascal Germain, Amaury Habrard, Emilie Morvant

ECML-PKDD 2024 A Theoretically Grounded Extension of Universal Attacks from the Attacker's Viewpoint Jordan Patracone, Paul Viallard, Emilie Morvant, Gilles Gasso, Amaury Habrard, Stéphane Canu

AISTATS 2024 Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures Paul Viallard, Rémi Emonet, Amaury Habrard, Emilie Morvant, Valentina Zantedeschi

NeurIPS 2021 A PAC-Bayes Analysis of Adversarial Robustness Paul Viallard, Eric Guillaume Vidot, Amaury Habrard, Emilie Morvant

NeurIPS 2021 Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, Pascal Germain, Benjamin Guedj

ECML-PKDD 2021 Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound Paul Viallard, Pascal Germain, Amaury Habrard, Emilie Morvant

ECML-PKDD 2020 Landmark-Based Ensemble Learning with Random Fourier Features and Gradient Boosting Léo Gautheron, Pascal Germain, Amaury Habrard, Guillaume Metzler, Emilie Morvant, Marc Sebban, Valentina Zantedeschi

AISTATS 2019 Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior Gaël Letarte, Emilie Morvant, Pascal Germain

ECML-PKDD 2017 PAC-Bayesian Analysis for a Two-Step Hierarchical Multiview Learning Approach Anil Goyal, Emilie Morvant, Pascal Germain, Massih-Reza Amini

ICML 2016 A New PAC-Bayesian Perspective on Domain Adaptation Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant

MLJ 2014 Learning a Priori Constrained Weighted Majority Votes Aurélien Bellet, Amaury Habrard, Emilie Morvant, Marc Sebban

NeurIPS 2014 Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks Mario Marchand, Hongyu Su, Emilie Morvant, Juho Rousu, John S Shawe-Taylor

ICML 2013 A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant

ACML 2013 The Multi-Task Learning View of Multimodal Data Hachem Kadri, Stephane Ayache, Cécile Capponi, Sokol Koço, François-Xavier Dupé, Emilie Morvant

ICML 2012 PAC-Bayesian Generalization Bound on Confusion Matrix for Multi-Class Classification Emilie Morvant, Sokol Koço, Liva Ralaivola