3 papers
cs.LG2026
Learning to Allocate Resources with Censored Feedback
Giovanni Montanari, Côme Fiegel, Corentin Pla +2
We study the online resource allocation problem in which at each round, a budget must be allocated across arms under censored feedback. An arm yields a reward if and only i…
stat.ML2025
On the Hardness of Reinforcement Learning with Transition Look-Ahead
Corentin Pla, Hugo Richard, Marc Abeille +2
We study reinforcement learning (RL) with transition look-ahead, where the agent may observe which states would be visited upon playing any sequence of actions before decidi…
stat.ME2024
Distribution-Aware Mean Estimation under User-level Local Differential Privacy
Corentin Pla, Hugo Richard, Maxime Vono
We consider the problem of mean estimation under user-level local differential privacy, where users are contributing through their local pool of data samples. Previous work ass…