Loubes, Jean-Michel

11 publications

ECML-PKDD 2025 Fairness Is in the Details : Face Dataset Auditing Valentin Lafargue, Emmanuelle Claeys, Jean-Michel Loubes

ICML 2025 On the Private Estimation of Smooth Transport Maps Clément Lalanne, Franck Iutzeler, Jean-Michel Loubes, Julien Chhor

NeurIPS 2025 When Majority Rules, Minority Loses: Bias Amplification of Gradient Descent François Bachoc, Jerome Bolte, Ryan Boustany, Jean-Michel Loubes

TMLR 2024 Diversity-Preserving $k$--Armed Bandits, Revisited Hedi Hadiji, Sébastien Gerchinovitz, Jean-Michel Loubes, Gilles Stoltz

MLJ 2024 Fairness Seen as Global Sensitivity Analysis Clément Benesse, Fabrice Gamboa, Jean-Michel Loubes, Thibaut Boissin

JMLR 2024 Transport-Based Counterfactual Models Lucas De Lara, Alberto González-Sanz, Nicholas Asher, Laurent Risser, Jean-Michel Loubes

TMLR 2023 Fair Kernel Regression Through Cross-Covariance Operators Adrian Perez-Suay, Paula Gordaliza, Jean-Michel Loubes, Dino Sejdinovic, Gustau Camps-Valls

AISTATS 2023 Gaussian Processes on Distributions Based on Regularized Optimal Transport François Bachoc, Louis Béthune, Alberto Gonzalez-Sanz, Jean-Michel Loubes

CVPR 2021 Achieving Robustness in Classification Using Optimal Transport with Hinge Regularization Mathieu Serrurier, Franck Mamalet, Alberto Gonzalez-Sanz, Thibaut Boissin, Jean-Michel Loubes, Eustasio del Barrio

ICML 2019 Obtaining Fairness Using Optimal Transport Theory Paula Gordaliza, Eustasio Del Barrio, Gamboa Fabrice, Jean-Michel Loubes

JMLR 2011 Group Lasso Estimation of High-Dimensional Covariance Matrices Jérémie Bigot, Rolando J. Biscay, Jean-Michel Loubes, Lillian Muñiz-Alvarez