Michael Perrot

2 accepted papers

2022

Optimal Tensor Transport

Tanguy Kerdoncuff, Rémi Emonet, Michael Perrot, Marc Sebban

AAAI 2022technical

Optimal Transport (OT) has become a popular tool in machine learning to align finite datasets typically lying in the same vector space. To expand the range of possible applications, Co-Optimal Transport (Co-OT) jointly estimates two distinct transport plans, one for the rows (points) and one for the…

Cited by 9 Source ↗PDF ↗code ↗Scholar ↗

2020

Too Relaxed to Be Fair

Michael Lohaus, Michael Perrot, Ulrike Von Luxburg

ICML 2020poster

We address the problem of classification under fairness constraints. Given a notion of fairness, the goal is to learn a classifier that is not discriminatory against a group of individuals. In the literature, this problem is often formulated as a constrained optimization problem and solved using rel…

Cited by 84 Source ↗PDF ↗code ↗Scholar ↗