54 citations · 180 across the 26 of their papers we have counts for
5 papers · 1 filter
Aggregated Hold-Out
Guillaume Maillard, Sylvain Arlot, Matthieu Lerasle
Aggregated hold-out (Agghoo) is a method which averages learning rules selected by hold-out (that is, cross-validation with a single split). We provide the first theoretical guaran…
Lecture Notes: Selected topics on robust statistical learning theory
Matthieu Lerasle
These notes gather recent results on robust statistical learning theory. The goal is to stress the main principles underlying the construction and theoretical analysis of these est…
A quantitative Mc Diarmid's inequality for geometrically ergodic Markov chains
Antoine Havet, Matthieu Lerasle, Eric Moulines +1
We state and prove a quantitative version of the bounded difference inequality for geometrically ergodic Markov chains. Our proof uses the same martingale decomposition as \cite{MR…
Pair-Matching: Links Prediction with Adaptive Queries
Christophe Giraud, Yann Issartel, Luc Lehéricy +1
The pair-matching problem appears in many applications where one wants to discover good matches between pairs of entities or individuals. Formally, the set of individuals is repres…
Robust high dimensional learning for Lipschitz and convex losses
Geoffrey Chinot, Guillaume Lecué, Matthieu Lerasle
We establish risk bounds for Regularized Empirical Risk Minimizers (RERM) when the loss is Lipschitz and convex and the regularization function is a norm. In a first part, we obtai…