6 citations · 6 across the 1 of their papers we have counts for
3 papers
Online non-convex optimization with imperfect feedback
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos +1
We consider the problem of online learning with non-convex losses. In terms of feedback, we assume that the learner observes - or otherwise constructs - an inexact model for the lo…
Individual Treatment Prescription Effect Estimation in a Low Compliance Setting
Thibaud Rahier, Amélie Héliou, Matthieu Martin +2
Individual Treatment Effect (ITE) estimation is an extensively researched problem, with applications in various domains. We model the case where there exists heterogeneous non-comp…
Gradient-free Online Learning in Games with Delayed Rewards
Amélie Héliou, Panayotis Mertikopoulos, Zhengyuan Zhou
Motivated by applications to online advertising and recommender systems, we consider a game-theoretic model with delayed rewards and asynchronous, payoff-based feedback. In contras…