| 2024 | AISTATS | Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures. | Paul Viallard, Rmi Emonet, Amaury Habrard, Emilie Morvant, Valentina Zantedeschi |
| 2019 | AISTATS | Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior. | Gal Letarte, Emilie Morvant, Pascal Germain |
| 2019 | ICTAI | Metric Learning from Imbalanced Data. | Lo Gautheron, Amaury Habrard, Emilie Morvant, Marc Sebban |
| 2018 | IDA | Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization. | Anil Goyal, Emilie Morvant, Massih-Reza Amini |
| 2016 | ICML | A New PAC-Bayesian Perspective on Domain Adaptation. | Pascal Germain, Amaury Habrard, Franois Laviolette, Emilie Morvant |
| 2014 | SSPR | Majority Vote of Diverse Classifiers for Late Fusion. | Emilie Morvant, Amaury Habrard, Stphane Ayache |
| 2013 | ACML | The Multi-Task Learning View of Multimodal Data. | Hachem Kadri, Stphane Ayache, Ccile Capponi, Sokol Koo, Franois-Xavier Dup, Emilie Morvant |
| 2013 | ICML | A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers. | Pascal Germain, Amaury Habrard, Franois Laviolette, Emilie Morvant |
| 2012 | ICML | PAC-Bayesian Generalization Bound on Confusion Matrix for Multi-Class Classification. | Emilie Morvant, Sokol Koo, Liva Ralaivola |
| 2011 | ICDM | Sparse Domain Adaptation in Projection Spaces Based on Good Similarity Functions. | Emilie Morvant, Amaury Habrard, Stphane Ayache |