most citedMonge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps

1 citations · 1 across the 4 of their papers we have counts for

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stat.ML2023

A Challenge in Reweighting Data with Bilevel Optimization

Anastasia Ivanova, Pierre Ablin

In many scenarios, one uses a large training set to train a model with the goal of performing well on a smaller testing set with a different distribution. Learning a weight for eac…

stat.ML2023★ 1 cited

Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps

Marco Cuturi, Michal Klein, Pierre Ablin

Optimal transport (OT) theory focuses, among all maps that can morph a probability measure onto another, on those that are the ``thriftiest…