Off-policy estimation of linear functionals: Non-asymptotic theory for semi-parametric efficiency

26 September 2022

Papers citing "Off-policy estimation of linear functionals: Non-asymptotic theory for semi-parametric efficiency"

9 / 9 papers shown

Title
Off-policy estimation with adaptively collected data: the power of online learning Jeonghwan Lee Cong Ma OffRL 66 0 0 19 Nov 2024
Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm R. Teal Witter Christopher Musco 25 0 0 06 Sep 2024
Is Offline Decision Making Possible with Only Few Samples? Reliable Decisions in Data-Starved Bandits via Trust Region Enhancement Ruiqi Zhang Yuexiang Zhai Andrea Zanette 41 0 0 24 Feb 2024
Offline Policy Evaluation for Reinforcement Learning with Adaptively Collected Data Sunil Madhow Dan Xiao Ming Yin Yu-Xiang Wang OffRL 27 0 0 24 Jun 2023
Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift Kaizheng Wang 24 10 0 20 Feb 2023
Kernel-based off-policy estimation without overlap: Instance optimality beyond semiparametric efficiency Wenlong Mou Peng Ding Martin J. Wainwright Peter L. Bartlett OffRL 14 10 0 16 Jan 2023
A Review of Off-Policy Evaluation in Reinforcement Learning Masatoshi Uehara C. Shi Nathan Kallus OffRL 28 66 0 13 Dec 2022
Minimax Semiparametric Learning With Approximate Sparsity Jelena Bradic Victor Chernozhukov Whitney Newey Yinchu Zhu 42 21 0 27 Dec 2019
Learning without Concentration S. Mendelson 80 334 0 01 Jan 2014