Emilie Morvant

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 29

Top Venues

Aix-Marseille University, Aix-en-Provence, France (PHD)

Education History

Aix-Marseille University, Aix-en-Provence, France

PHD

Publications

Paul Viallard, Pascal Germain, Amaury Habrard, Emilie Morvant
A general framework for the practical disintegration of PAC-Bayesian bounds. Mach. Learn. 113 (2) (2024)
Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, Pascal Germain, Benjamin Guedj
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound. NeurIPS (2021)
Guillaume Vidot, Paul Viallard, Amaury Habrard, Emilie Morvant
A PAC-Bayes Analysis of Adversarial Robustness. CoRR (2021)
Paul Viallard, Pascal Germain, Amaury Habrard, Emilie Morvant
Self-bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound. ECML/PKDD (2) (2021)
Paul Viallard, Guillaume Vidot, Amaury Habrard, Emilie Morvant
A PAC-Bayes Analysis of Adversarial Robustness. NeurIPS (2021)
Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, Pascal Germain, Benjamin Guedj
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound. CoRR (2021)
Paul Viallard, Pascal Germain, Amaury Habrard, Emilie Morvant
A General Framework for the Derandomization of PAC-Bayesian Bounds. CoRR (2021)
Paul Viallard, Pascal Germain, Amaury Habrard, Emilie Morvant
Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound. CoRR (2021)
Léo Gautheron, Amaury Habrard, Emilie Morvant, Marc Sebban
Metric Learning from Imbalanced Data with Generalization Guarantees. Pattern Recognit. Lett. 133 (2020)
Ievgen Redko, Emilie Morvant, Amaury Habrard, Marc Sebban, Younès Bennani
A survey on domain adaptation theory. CoRR (2020)
Léo Gautheron, Pascal Germain, Amaury Habrard, Guillaume Metzler, Emilie Morvant, Marc Sebban, Valentina Zantedeschi
Landmark-Based Ensemble Learning with Random Fourier Features and Gradient Boosting. ECML/PKDD (3) (2020)
Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant
PAC-Bayes and domain adaptation. Neurocomputing 379 (2020)
Anil Goyal, Emilie Morvant, Pascal Germain, Massih-Reza Amini
Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters. Neurocomputing 358 (2019)
Gaël Letarte, Emilie Morvant, Pascal Germain
Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior. AISTATS (2019)
Léo Gautheron, Amaury Habrard, Emilie Morvant, Marc Sebban
Metric Learning from Imbalanced Data. ICTAI (2019)
Léo Gautheron, Pascal Germain, Amaury Habrard, Emilie Morvant, Marc Sebban, Valentina Zantedeschi
Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting. CoRR (2019)
Léo Gautheron, Emilie Morvant, Amaury Habrard, Marc Sebban
Metric Learning from Imbalanced Data. CoRR (2019)
Anil Goyal, Emilie Morvant, Massih-Reza Amini
Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization. IDA (2018)
Anil Goyal, Emilie Morvant, Massih-Reza Amini
Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization. CoRR (2018)
Gaël Letarte, Emilie Morvant, Pascal Germain
Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior. CoRR (2018)
Anil Goyal, Emilie Morvant, Pascal Germain, Massih-Reza Amini
Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters. CoRR (2018)
Anil Goyal, Emilie Morvant, Pascal Germain, Massih-Reza Amini
PAC-Bayesian Analysis for a Two-Step Hierarchical Multiview Learning Approach. ECML/PKDD (2) (2017)
François Laviolette, Emilie Morvant, Liva Ralaivola, Jean-Francis Roy
Risk upper bounds for general ensemble methods with an application to multiclass classification. Neurocomputing 219 (2017)
Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant
A New PAC-Bayesian Perspective on Domain Adaptation. ICML (2016)
Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant
A New PAC-Bayesian Perspective on Domain Adaptation. CoRR (2015)
Emilie Morvant
Domain adaptation of weighted majority votes via perturbed variation-based self-labeling. Pattern Recognit. Lett. 51 (2015)
Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant
PAC-Bayesian Theorems for Domain Adaptation with Specialization to Linear Classifiers. CoRR (2015)
Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant
An Improvement to the Domain Adaptation Bound in a PAC-Bayesian context. CoRR (2015)
François Laviolette, Emilie Morvant, Liva Ralaivola, Jean-Francis Roy
On Generalizing the C-Bound to the Multiclass and Multi-label Settings. CoRR (2015)
Aurélien Bellet, Amaury Habrard, Emilie Morvant, Marc Sebban
Learning a priori constrained weighted majority votes. Mach. Learn. 97 (1-2) (2014)
Emilie Morvant, Amaury Habrard, Stéphane Ayache
Majority Vote of Diverse Classifiers for Late Fusion. S+SSPR (2014)
Mario Marchand, Hongyu Su, Emilie Morvant, Juho Rousu, John Shawe-Taylor
Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks. NIPS (2014)
Emilie Morvant
Domain adaptation of weighted majority votes via perturbed variation-based self-labeling. CoRR (2014)
Vladimir Kolmogorov, Christoph H. Lampert, Emilie Morvant, Rustem Takhanov
Proceedings of The 38th Annual Workshop of the Austrian Association for Pattern Recognition (ÖAGM), 2014. CoRR (2014)
Emilie Morvant, Amaury Habrard, Stéphane Ayache
Majority Vote of Diverse Classifiers for Late Fusion. CoRR (2014)
Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant
A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers. ICML (3) (2013)
Hachem Kadri, Stéphane Ayache, Cécile Capponi, Sokol Koço, François-Xavier Dupé, Emilie Morvant
The Multi-Task Learning View of Multimodal Data. ACML (2013)
Emilie Morvant
Domain Adaptation of Majority Votes via Perturbed Variation-based Label Transfer. CoRR (2013)
Emilie Morvant, Sokol Koço, Liva Ralaivola
PAC-Bayesian Generalization Bound on Confusion Matrix for Multi-Class Classification CoRR (2012)
Emilie Morvant, Sokol Koço, Liva Ralaivola
PAC-Bayesian Generalization Bound on Confusion Matrix for Multi-Class Classification. ICML (2012)
Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant
PAC-Bayesian Learning and Domain Adaptation CoRR (2012)
Emilie Morvant, Amaury Habrard, Stéphane Ayache
Parsimonious unsupervised and semi-supervised domain adaptation with good similarity functions. Knowl. Inf. Syst. 33 (2) (2012)
Emilie Morvant, Amaury Habrard, Stéphane Ayache
PAC-Bayesian Majority Vote for Late Classifier Fusion CoRR (2012)
Emilie Morvant, Amaury Habrard, Stéphane Ayache
On the Usefulness of Similarity Based Projection Spaces for Transfer Learning. SIMBAD (2011)
Emilie Morvant, Stéphane Ayache, Amaury Habrard, Miriam Redi, Claudiu Tanase, Bernard Mérialdo, Bahjat Safadi, Franck Thollard, Nadia Derbas, Georges Quénot
VideoSense at TRECVID 2011: Semantic Indexing from Light Similarity Functions-based Domain Adaptation with Stacking. TRECVID (2011)
Emilie Morvant, Amaury Habrard, Stéphane Ayache
Sparse Domain Adaptation in Projection Spaces Based on Good Similarity Functions. ICDM (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Emilie Morvant