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Emilie Morvant
Emilie Morvant
Assistant Professor, University of Saint-Etienne (France), Hubert Curien Laboratory
Adresse e-mail validée de univ-st-etienne.fr - Page d'accueil
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Année
Advances in domain adaptation theory
I Redko, E Morvant, A Habrard, M Sebban, Y Bennani
Elsevier, 2019
256*2019
A PAC-Bayesian approach for domain adaptation with specialization to linear classifiers
P Germain, A Habrard, F Laviolette, E Morvant
International conference on machine learning, 738-746, 2013
1332013
Majority vote of diverse classifiers for late fusion
E Morvant, A Habrard, S Ayache
Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2014
1302014
A new PAC-Bayesian perspective on domain adaptation
P Germain, A Habrard, F Laviolette, E Morvant
International conference on machine learning, 859-868, 2016
672016
PAC-Bayesian generalization bound on confusion matrix for multi-class classification
E Morvant, S Koço, L Ralaivola
arXiv preprint arXiv:1202.6228, 2012
342012
Metric learning from imbalanced data with generalization guarantees
L Gautheron, A Habrard, E Morvant, M Sebban
Pattern Recognition Letters 133, 298-304, 2020
312020
PAC-Bayes and domain adaptation
P Germain, A Habrard, F Laviolette, E Morvant
Neurocomputing 379, 379-397, 2020
312020
Parsimonious unsupervised and semi-supervised domain adaptation with good similarity functions
E Morvant, A Habrard, S Ayache
Knowledge and Information Systems 33, 309-349, 2012
312012
Metric learning from imbalanced data
L Gautheron, A Habrard, E Morvant, M Sebban
2019 IEEE 31st International Conference on Tools with Artificial …, 2019
242019
Pac-bayesian analysis for a two-step hierarchical multiview learning approach
A Goyal, E Morvant, P Germain, MR Amini
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017
212017
Domain adaptation of weighted majority votes via perturbed variation-based self-labeling
E Morvant
Pattern Recognition Letters, 2014
182014
A general framework for the practical disintegration of PAC-Bayesian bounds
P Viallard, P Germain, A Habrard, E Morvant
Machine Learning, 1-86, 2023
17*2023
A pac-bayes analysis of adversarial robustness
P Viallard, EG VIDOT, A Habrard, E Morvant
Advances in Neural Information Processing Systems 34, 14421-14433, 2021
172021
Learning stochastic majority votes by minimizing a PAC-Bayes generalization bound
V Zantedeschi, P Viallard, E Morvant, R Emonet, A Habrard, P Germain, ...
Advances in Neural Information Processing Systems 34, 455-467, 2021
142021
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
142017
The multi-task learning view of multimodal data
H Kadri, S Ayache, C Capponi, S Koço, FX Dupé, E Morvant
Asian Conference on Machine Learning, 261-276, 2013
142013
Multiview boosting by controlling the diversity and the accuracy of view-specific voters
A Goyal, E Morvant, P Germain, MR Amini
Neurocomputing 358, 81-92, 2019
112019
Sparse domain adaptation in projection spaces based on good similarity functions
E Morvant, A Habrard, S Ayache
2011 IEEE 11th International Conference on Data Mining, 457-466, 2011
92011
Self-bounding majority vote learning algorithms by the direct minimization of a tight pac-bayesian c-bound
P Viallard, P Germain, A Habrard, E Morvant
Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021
82021
PAC-Bayesian theorems for domain adaptation with specialization to linear classifiers
P Germain, A Habrard, F Laviolette, E Morvant
arXiv preprint arXiv:1503.06944, 2015
82015
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