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Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound


Jun 23, 2021
Valentina Zantedeschi, Paul Viallard, Emilie Morvant, RĂ©mi Emonet, Amaury Habrard, Pascal Germain, Benjamin Guedj


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Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound


Apr 28, 2021
Paul Viallard, Pascal Germain, Amaury Habrard, Emilie Morvant


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A PAC-Bayes Analysis of Adversarial Robustness


Feb 19, 2021
Guillaume Vidot, Paul Viallard, Amaury Habrard, Emilie Morvant


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A General Framework for the Derandomization of PAC-Bayesian Bounds


Feb 17, 2021
Paul Viallard, Pascal Germain, Amaury Habrard, Emilie Morvant


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A survey on domain adaptation theory


Apr 24, 2020
Ievgen Redko, Emilie Morvant, Amaury Habrard, Marc Sebban, Younès Bennani


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Metric Learning from Imbalanced Data


Sep 04, 2019
LĂ©o Gautheron, Emilie Morvant, Amaury Habrard, Marc Sebban


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Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting


Jun 14, 2019
LĂ©o Gautheron, Pascal Germain, Amaury Habrard, Emilie Morvant, Marc Sebban, Valentina Zantedeschi


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Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior


Oct 30, 2018
Gaël Letarte, Emilie Morvant, Pascal Germain


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Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters


Aug 27, 2018
Anil Goyal, Emilie Morvant, Pascal Germain, Massih-Reza Amini


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Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization


May 25, 2018
Anil Goyal, Emilie Morvant, Massih-Reza Amini


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PAC-Bayes and Domain Adaptation


Jul 17, 2017
Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant

* arXiv admin note: text overlap with arXiv:1503.06944 

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PAC-Bayesian Analysis for a two-step Hierarchical Multiview Learning Approach


Jul 13, 2017
Anil Goyal, Emilie Morvant, Pascal Germain, Massih-Reza Amini


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PAC-Bayesian Theorems for Domain Adaptation with Specialization to Linear Classifiers


Aug 09, 2016
Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant

* This report is a long version of our paper entitled A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers published in the proceedings of the International Conference on Machine Learning (ICML) 2013. We improved our main results, extended our experiments, and proposed an extension to multisource domain adaptation 

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A New PAC-Bayesian Perspective on Domain Adaptation


Jul 26, 2016
Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant

* Published at ICML 2016 

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On the Generalization of the C-Bound to Structured Output Ensemble Methods


Jun 15, 2015
François Laviolette, Emilie Morvant, Liva Ralaivola, Jean-Francis Roy


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An Improvement to the Domain Adaptation Bound in a PAC-Bayesian context


Jan 13, 2015
Pascal Germain, Amaury Habrard, Francois Laviolette, Emilie Morvant

* NIPS 2014 Workshop on Transfer and Multi-task learning: Theory Meets Practice, Dec 2014, Montr{\'e}al, Canada 

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On Generalizing the C-Bound to the Multiclass and Multi-label Settings


Jan 13, 2015
Francois Laviolette, Emilie Morvant, Liva Ralaivola, Jean-Francis Roy

* NIPS 2014 Workshop on Representation and Learning Methods for Complex Outputs, Dec 2014, Montr{\'e}al, Canada 

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Domain adaptation of weighted majority votes via perturbed variation-based self-labeling


Oct 01, 2014
Emilie Morvant

* Pattern Recognition Letters (2014) To be published 

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Majority Vote of Diverse Classifiers for Late Fusion


Jun 19, 2014
Emilie Morvant, Amaury Habrard, Stéphane Ayache

* IAPR Joint International Workshops on Statistical Techniques in Pattern Recognition and Structural and Syntactic Pattern Recignition, Joensuu : Finland (2014) 

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Proceedings of The 38th Annual Workshop of the Austrian Association for Pattern Recognition (Ă–AGM), 2014


Apr 30, 2014
Vladimir Kolmogorov, Christoph Lampert, Emilie Morvant, Rustem Takhanov


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Domain Adaptation of Majority Votes via Perturbed Variation-based Label Transfer


Nov 19, 2013
Emilie Morvant

* Pattern Recognition Letters 2015 

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PAC-Bayesian Generalization Bound on Confusion Matrix for Multi-Class Classification


Oct 22, 2013
Emilie Morvant, Sokol Koço, Liva Ralaivola

* Arxiv: http://arxiv.org/abs/1202.6228, Accepted at ICML 2012 

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PAC-Bayesian Learning and Domain Adaptation


Dec 11, 2012
Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant

* Multi-Trade-offs in Machine Learning, NIPS 2012 Workshop, Lake Tahoe : United States (2012) 
* https://sites.google.com/site/multitradeoffs2012/ 

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PAC-Bayesian Majority Vote for Late Classifier Fusion


Jul 04, 2012
Emilie Morvant, Amaury Habrard, Stéphane Ayache

* 7 pages, Research report 

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