Speeding Up Syntactic Learning Using Contextual Information. - Leonor Becerra-Bonache; Élisa Fromont; Amaury Habrard; Michaël Perrot; Marc Sebban (ICGI, 2012)

Modeling Perceptual Color Differences by Local Metric Learning. - Michaël Perrot; Amaury Habrard; Damien Muselet; Marc Sebban (ECCV (5), 2014)

A Theoretical Analysis of Metric Hypothesis Transfer Learning. - Michaël Perrot; Amaury Habrard (ICML, 2015)

Regressive Virtual Metric Learning. - Michaël Perrot; Amaury Habrard (NIPS, 2015)

Mapping Estimation for Discrete Optimal Transport. - Michaël Perrot; Nicolas Courty; Rémi Flamary; Amaury Habrard (NIPS, 2016)

Theory and algorithms for learning metrics with controlled behaviour. (Théorie et algorithmes pour l'apprentissage de métriques à comportement contrôlé). - Michaël Perrot (2016)

Boosting for Comparison-Based Learning. - Michaël Perrot; Ulrike von Luxburg (IJCAI, 2019)

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

Too Relaxed to Be Fair. - Michael Lohaus; Michaël Perrot; Ulrike von Luxburg (ICML, 2020)

Near-Optimal Comparison Based Clustering. - Michaël Perrot; Pascal Mattia Esser; Debarghya Ghoshdastidar (NeurIPS, 2020)

Optimal Tensor Transport. - Tanguy Kerdoncuff; Rémi Emonet; Michaël Perrot; Marc Sebban (AAAI, 2022)

Fairness Certificates for Differentially Private Classification. - Paul Mangold; Michaël Perrot; Aurélien Bellet; Marc Tommasi (CoRR, 2022)

Differential Privacy has Bounded Impact on Fairness in Classification. - Paul Mangold; Michaël Perrot; Aurélien Bellet; Marc Tommasi (ICML, 2023)

FairGrad: Fairness Aware Gradient Descent. - Gaurav Maheshwari 004; Michaël Perrot (Trans. Mach. Learn. Res., 2023)

A Revenue Function for Comparison-Based Hierarchical Clustering. - Aishik Mandal; Michaël Perrot; Debarghya Ghoshdastidar (Trans. Mach. Learn. Res., 2023)

On the Impact of Output Perturbation on Fairness in Binary Linear Classification. - Vitalii Emelianov 001; Michaël Perrot (CoRR, 2024)

Recipient Profiling: Predicting Characteristics from Messages. - Martin Borquez; Mikaela Keller; Michaël Perrot; Damien Sileo (CoRR, 2024)

Fair Text Classification via Transferable Representations. - Thibaud Leteno; Michaël Perrot; Charlotte Laclau; Antoine Gourru; Christophe Gravier (CoRR, 2025)