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cs.LG2026
Low-Budget Active Learning through Entropic Optimal Transport
Rim Hajal, Mathieu Besançon, Jérôme Malick
We consider low-budget active learning, which consists of selecting a limited number of points, the coreset, such that a model can be trained to high accuracy on the selection only…
math.OC2026
First-Order Methods for Wasserstein Distributionally Robust Constrained Optimization
Hubert Villuendas, Mathieu Besançon, Jérôme Malick
We consider constrained problems in which input data are affected by errors. In such settings, Wasserstein distributionally robust optimization provides a principled framework to m…