172 citations · 763 across the 43 of their papers we have counts for
4 papers · 2 filters
Concentration of weakly dependent Banach-valued sums and applications to statistical learning methods
Gilles Blanchard, Oleksandr Zadorozhnyi
We obtain a Bernstein-type inequality for sums of Banach-valued random variables satisfying a weak dependence assumption of general type and under certain smoothness assumptions of…
Domain Generalization by Marginal Transfer Learning
Gilles Blanchard, Aniket Anand Deshmukh, Urun Dogan +2
In the problem of domain generalization (DG), there are labeled training data sets from several related prediction problems, and the goal is to make accurate predictions on future…
Decontamination of Mutual Contamination Models
Julian Katz-Samuels, Gilles Blanchard, Clayton Scott
Many machine learning problems can be characterized by mutual contamination models. In these problems, one observes several random samples from different convex combinations of a s…
Compressive Statistical Learning with Random Feature Moments
Rémi Gribonval, Gilles Blanchard, Nicolas Keriven +1
We describe a general framework -- compressive statistical learning -- for resource-efficient large-scale learning: the training collection is compressed in one pass into a low-dim…