2 papers
cs.LG2020
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…
stat.ML2020
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…