1 citations · 1 across the 4 of their papers we have counts for
4 papers
Sample complexity of unbalanced entropic OT
Francisco Andrade, Gabriel Peyré, Clarice Poon
Optimal transport (OT) has become a central language for comparing probability measures, but exact balanced OT is often both too rigid for data with missing, created, or destroyed…
Optimal Transport under Group Fairness Constraints
Linus Bleistein, Mathieu Dagréou, Francisco Andrade +2
Ensuring fairness in matching algorithms is a key challenge in allocating scarce resources and positions. Focusing on Optimal Transport (OT), we introduce a novel notion of group f…
Learning from samples: inverse problems over measures
Francisco Andrade, Gabriel Peyré, Clarice Poon
We study inverse problems where an unknown potential is observed only through samples from the measure it induces by a convex variational principle. Such problems arise in learning…
Sparsistency for Inverse Optimal Transport
Francisco Andrade, Gabriel Peyre, Clarice Poon
Optimal Transport is a useful metric to compare probability distributions and to compute a pairing given a ground cost. Its entropic regularization variant (eOT) is crucial to have…