Perrot, Michaël

13 publications

JMLR 2025 Fair Text Classification via Transferable Representations Thibaud Leteno, Michael Perrot, Charlotte Laclau, Antoine Gourru, Christophe Gravier

TMLR 2023 A Revenue Function for Comparison-Based Hierarchical Clustering Aishik Mandal, Michaël Perrot, Debarghya Ghoshdastidar

ICML 2023 Differential Privacy Has Bounded Impact on Fairness in Classification Paul Mangold, Michaël Perrot, Aurélien Bellet, Marc Tommasi

TMLR 2023 FairGrad: Fairness Aware Gradient Descent Gaurav Maheshwari, Michaël Perrot

AAAI 2022 Optimal Tensor Transport Tanguy Kerdoncuff, Rémi Emonet, Michaël Perrot, Marc Sebban

NeurIPS 2020 Near-Optimal Comparison Based Clustering Michaël Perrot, Pascal Esser, Debarghya Ghoshdastidar

ICML 2020 Too Relaxed to Be Fair Michael Lohaus, Michael Perrot, Ulrike Von Luxburg

IJCAI 2019 Boosting for Comparison-Based Learning Michaël Perrot, Ulrike von Luxburg

NeurIPS 2019 Foundations of Comparison-Based Hierarchical Clustering Debarghya Ghoshdastidar, Michaël Perrot, Ulrike von Luxburg

NeurIPS 2016 Mapping Estimation for Discrete Optimal Transport Michaël Perrot, Nicolas Courty, Rémi Flamary, Amaury Habrard

ICML 2015 A Theoretical Analysis of Metric Hypothesis Transfer Learning Michaël Perrot, Amaury Habrard

NeurIPS 2015 Regressive Virtual Metric Learning Michaël Perrot, Amaury Habrard

ECCV 2014 Modeling Perceptual Color Differences by Local Metric Learning Michaël Perrot, Amaury Habrard, Damien Muselet, Marc Sebban