3 citations · 5 across the 2 of their papers we have counts for
2 papers
stat.ML2023★ 3 cited
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes
Charles Riou, Pierre Alquier, Badr-Eddine Chérief-Abdellatif
Bernstein's condition is a key assumption that guarantees fast rates in machine learning. For example, the Gibbs algorithm with prior has an excess risk in , as oppos…
cs.LG2022★ 2 cited
The Survival Bandit Problem
Charles Riou, Junya Honda, Masashi Sugiyama
We introduce and study a new variant of the multi-armed bandit problem (MAB), called the survival bandit problem (S-MAB). While in both problems, the objective is to maximize the s…