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Michaël Perrot
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Year
Mapping estimation for discrete optimal transport
M Perrot, N Courty, R Flamary, A Habrard
Advances in Neural Information Processing Systems 29, 2016
1012016
Regressive virtual metric learning
M Perrot, A Habrard
Advances in neural information processing systems 28, 2015
472015
A theoretical analysis of metric hypothesis transfer learning
M Perrot, A Habrard
International Conference on Machine Learning, 1708-1717, 2015
342015
Too relaxed to be fair
M Lohaus, M Perrot, U Von Luxburg
International Conference on Machine Learning, 6360-6369, 2020
302020
Foundations of comparison-based hierarchical clustering
D Ghoshdastidar, M Perrot, U von Luxburg
Advances in neural information processing systems 32, 2019
252019
Modeling perceptual color differences by local metric learning
M Perrot, A Habrard, D Muselet, M Sebban
European conference on computer vision, 96-111, 2014
192014
Near-optimal comparison based clustering
M Perrot, P Esser, D Ghoshdastidar
Advances in Neural Information Processing Systems 33, 19388-19399, 2020
52020
Boosting for comparison-based learning
M Perrot, U Von Luxburg
arXiv preprint arXiv:1810.13333, 2018
42018
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
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
Optimal Tensor Transport
T Kerdoncuff, R Emonet, M Perrot, M Sebban
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7124-7132, 2022
2022
FairGrad: Fairness Aware Gradient Descent
G Maheshwari, M Perrot
arXiv preprint arXiv:2206.10923, 2022
2022
Theory and algorithms for learning metrics with controlled behaviour
M Perrot
Lyon, 2016
2016
cfwen/POT Goto Github PK
R Flamary, N Courty, L Chapel, M Perrot, G Peyré, N Bonneel, A Rolet, ...
Statement of Research
M Perrot
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Articles 1–15