Michaël Perrot

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 18

Top Venues

CoRR

ICML

NIPS

Trans. Mach. Learn. Res.

University of Lyon, France (PHD)

Education History

University of Lyon, France

PHD

Publications

Vitalii Emelianov, Michaël Perrot
On the Impact of Output Perturbation on Fairness in Binary Linear Classification. CoRR (2024)
Aishik Mandal, Michaël Perrot, Debarghya Ghoshdastidar
A Revenue Function for Comparison-Based Hierarchical Clustering. Trans. Mach. Learn. Res. 2023 (2023)
Gaurav Maheshwari, Michaël Perrot
FairGrad: Fairness Aware Gradient Descent. Trans. Mach. Learn. Res. 2023 (2023)
Paul Mangold, Michaël Perrot, Aurélien Bellet, Marc Tommasi
Differential Privacy has Bounded Impact on Fairness in Classification. ICML (2023)
Paul Mangold, Michaël Perrot, Aurélien Bellet, Marc Tommasi
Fairness Certificates for Differentially Private Classification. CoRR (2022)
Gaurav Maheshwari, Michaël Perrot
FairGrad: Fairness Aware Gradient Descent. CoRR (2022)
Aishik Mandal, Michaël Perrot, Debarghya Ghoshdastidar
A Revenue Function for Comparison-Based Hierarchical Clustering. CoRR (2022)
Tanguy Kerdoncuff, Rémi Emonet, Michaël Perrot, Marc Sebban
Optimal Tensor Transport. AAAI (2022)
Michael Lohaus, Michaël Perrot, Ulrike von Luxburg
Too Relaxed to Be Fair. ICML (2020)
Michaël Perrot, Pascal Mattia Esser, Debarghya Ghoshdastidar
Near-Optimal Comparison Based Clustering. NeurIPS (2020)
Michaël Perrot, Pascal Mattia Esser, Debarghya Ghoshdastidar
Near-Optimal Comparison Based Clustering. CoRR (2020)
Michaël Perrot, Ulrike von Luxburg
Boosting for Comparison-Based Learning. IJCAI (2019)
Debarghya Ghoshdastidar, Michaël Perrot, Ulrike von Luxburg
Foundations of Comparison-Based Hierarchical Clustering. NeurIPS (2019)
Michaël Perrot, Ulrike von Luxburg
Boosting for Comparison-Based Learning. CoRR (2018)
Debarghya Ghoshdastidar, Michaël Perrot, Ulrike von Luxburg
Foundations of Comparison-Based Hierarchical Clustering. CoRR (2018)
Michaël Perrot, Nicolas Courty, Rémi Flamary, Amaury Habrard
Mapping Estimation for Discrete Optimal Transport. NIPS (2016)
Michaël Perrot, Amaury Habrard
A Theoretical Analysis of Metric Hypothesis Transfer Learning. ICML (2015)
Michaël Perrot, Amaury Habrard
Regressive Virtual Metric Learning. NIPS (2015)
Michaël Perrot, Amaury Habrard, Damien Muselet, Marc Sebban
Modeling Perceptual Color Differences by Local Metric Learning. ECCV (5) (2014)
Leonor Becerra-Bonache, Élisa Fromont, Amaury Habrard, Michaël Perrot, Marc Sebban
Speeding Up Syntactic Learning Using Contextual Information. ICGI (2012)

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Publication Activity (10 Years)

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Michaël Perrot