Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning

3 June 2021

Papers citing "Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning"

7 / 7 papers shown

Title
Sequential Counterfactual Risk Minimization Houssam Zenati Eustache Diemert Matthieu Martin Julien Mairal Pierre Gaillard OffRL 29 3 0 23 Feb 2023
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR Kaiwen Wang Nathan Kallus Wen Sun 112 18 0 07 Feb 2023
Near-Optimal Non-Parametric Sequential Tests and Confidence Sequences with Possibly Dependent Observations Aurélien F. Bibaut Nathan Kallus Michael Lindon 30 9 0 29 Dec 2022
Policy learning "without'' overlap: Pessimism and generalized empirical Bernstein's inequality Ying Jin Zhimei Ren Zhuoran Yang Zhaoran Wang OffRL 34 25 0 19 Dec 2022
Policy Learning with Adaptively Collected Data Ruohan Zhan Zhimei Ren Susan Athey Zhengyuan Zhou OffRL 45 27 0 05 May 2021
Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits Aurélien F. Bibaut Antoine Chambaz Mark van der Laan OffRL 41 3 0 05 Mar 2020
OpenML Benchmarking Suites B. Bischl Giuseppe Casalicchio Matthias Feurer Pieter Gijsbers Frank Hutter Michel Lang R. G. Mantovani Jan N. van Rijn Joaquin Vanschoren VLM ELM 41 152 0 11 Aug 2017