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Michaël Perrot
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Mapping estimation for discrete optimal transport
M Perrot, N Courty, R Flamary, A Habrard
Advances in Neural Information Processing Systems 29, 2016
1392016
Too relaxed to be fair
M Lohaus, M Perrot, U Von Luxburg
International Conference on Machine Learning, 6360-6369, 2020
662020
Regressive virtual metric learning
M Perrot, A Habrard
Advances in neural information processing systems 28, 2015
522015
A theoretical analysis of metric hypothesis transfer learning
M Perrot, A Habrard
International Conference on Machine Learning, 1708-1717, 2015
452015
Foundations of comparison-based hierarchical clustering
D Ghoshdastidar, M Perrot, U von Luxburg
Advances in neural information processing systems 32, 2019
322019
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
202014
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
162023
Fairgrad: Fairness aware gradient descent
G Maheshwari, M Perrot
arXiv preprint arXiv:2206.10923, 2022
152022
Near-optimal comparison based clustering
M Perrot, P Esser, D Ghoshdastidar
Advances in Neural Information Processing Systems 33, 19388-19399, 2020
72020
Boosting for comparison-based learning
M Perrot, U Von Luxburg
arXiv preprint arXiv:1810.13333, 2018
72018
Optimal tensor transport
T Kerdoncuff, R Emonet, M Perrot, M Sebban
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7124-7132, 2022
42022
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
32012
A Revenue Function for Comparison-Based Hierarchical Clustering
A Mandal, M Perrot, D Ghoshdastidar
arXiv preprint arXiv:2211.16459, 2022
12022
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
12016
On the Impact of Output Perturbation on Fairness in Binary Linear Classification
V Emelianov, M Perrot
arXiv preprint arXiv:2402.03011, 2024
2024
Fairness Certificates for Differentially Private Classification.
P Mangold, M Perrot, A Bellet, M Tommasi
CoRR, 2022
2022
Theory and algorithms for learning metrics with controlled behaviour
M Perrot
Université de Lyon, 2016
2016
Statement of Research
M Perrot
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Articles 1–18