| Mapping estimation for discrete optimal transport M Perrot, N Courty, R Flamary, A Habrard Advances in Neural Information Processing Systems 29, 2016 | 128 | 2016 |
| Too relaxed to be fair M Lohaus, M Perrot, U Von Luxburg International Conference on Machine Learning, 6360-6369, 2020 | 58 | 2020 |
| Regressive virtual metric learning M Perrot, A Habrard Advances in neural information processing systems 28, 2015 | 51 | 2015 |
| A theoretical analysis of metric hypothesis transfer learning M Perrot, A Habrard International Conference on Machine Learning, 1708-1717, 2015 | 38 | 2015 |
| Foundations of comparison-based hierarchical clustering D Ghoshdastidar, M Perrot, U von Luxburg Advances in neural information processing systems 32, 2019 | 28 | 2019 |
| Modeling perceptual color differences by local metric learning M Perrot, A Habrard, D Muselet, M Sebban Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 18 | 2014 |
| Fairgrad: Fairness aware gradient descent G Maheshwari, M Perrot arXiv preprint arXiv:2206.10923, 2022 | 11 | 2022 |
| Boosting for comparison-based learning M Perrot, U Von Luxburg arXiv preprint arXiv:1810.13333, 2018 | 7 | 2018 |
| Near-optimal comparison based clustering M Perrot, P Esser, D Ghoshdastidar Advances in Neural Information Processing Systems 33, 19388-19399, 2020 | 6 | 2020 |
| Optimal Tensor Transport T Kerdoncuff, R Emonet, M Perrot, M Sebban Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7124-7132, 2022 | 3 | 2022 |
| Speeding up syntactic learning using contextual information LB Bonache, E Fromont, A Habrard, M Perrot, M Sebban International Conference on Grammatical Inference, 49-53, 2012 | 3 | 2012 |
| Differential privacy has bounded impact on fairness in classification P Mangold, M Perrot, A Bellet, M Tommasi International Conference on Machine Learning, 23681-23705, 2023 | 1 | 2023 |
| A Revenue Function for Comparison-Based Hierarchical Clustering A Mandal, M Perrot, D Ghoshdastidar arXiv preprint arXiv:2211.16459, 2022 | 1 | 2022 |
| Bornes en Généralisation à Convergence Rapide pour le Transfert d'Hypothèses en Apprentissage de Métriques M Perrot, A Habrard Conférence francophone sur l'Apprentissage Automatique, 2016 | 1 | 2016 |
| Fairness Certificates for Differentially Private Classification P Mangold, M Perrot, A Bellet, M Tommasi arXiv preprint arXiv:2210.16242, 2022 | | 2022 |
| Theory and algorithms for learning metrics with controlled behaviour M Perrot Université de Lyon, 2016 | | 2016 |
| Statement of Research M Perrot | | |
Amaury HabrardProfessor of Computer Science, University Jean Monnet of Saint-Etienne (France)Adresse e-mail validée de univ-st-etienne.fr
