Offline Multi-Action Policy Learning: Generalization and Optimization

Offline Multi-Action Policy Learning: Generalization and Optimization

10 October 2018

Papers citing "Offline Multi-Action Policy Learning: Generalization and Optimization"

15 / 15 papers shown

Title
Doubly Robust Fusion of Many Treatments for Policy Learning Ke Zhu Jianing Chu I. Lipkovich Wenyu Ye Shu Yang 29 0 0 12 May 2025
Contextual Linear Optimization with Bandit Feedback Yichun Hu Nathan Kallus Xiaojie Mao Yanchen Wu 33 0 0 26 May 2024
Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation Yu Chen Xiangcheng Zhang Siwei Wang Longbo Huang 34 3 0 28 Feb 2024
Individualized Policy Evaluation and Learning under Clustered Network Interference Yi Zhang Kosuke Imai OffRL 34 1 0 04 Nov 2023
Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning Susan Athey Undral Byambadalai Vitor Hadad Sanath Kumar Krishnamurthy Weiwen Leung Joseph Jay Williams 19 13 0 22 Nov 2022
Risk-Sensitive Markov Decision Processes with Long-Run CVaR Criterion L. Xia Peter Glynn 11 4 0 17 Oct 2022
Off-policy estimation of linear functionals: Non-asymptotic theory for semi-parametric efficiency Wenlong Mou Martin J. Wainwright Peter L. Bartlett OffRL 28 10 0 26 Sep 2022
Learning from a Biased Sample Roshni Sahoo Lihua Lei Stefan Wager 19 17 0 05 Sep 2022
Interpretable Off-Policy Learning via Hyperbox Search D. Tschernutter Tobias Hatt Stefan Feuerriegel OffRL CML 42 5 0 04 Mar 2022
Generalized Causal Tree for Uplift Modeling Preetam Nandy Xiufan Yu Wanjun Liu Ye Tu Kinjal Basu S. Chatterjee CML 18 3 0 04 Feb 2022
Interpretable Personalized Experimentation Han Wu S. Tan Weiwei Li Mia Garrard Adam Obeng Drew Dimmery Shaun Singh Hanson Wang Daniel R. Jiang E. Bakshy 17 5 0 05 Nov 2021
Policy Learning with Adaptively Collected Data Ruohan Zhan Zhimei Ren Susan Athey Zhengyuan Zhou OffRL 32 26 0 05 May 2021
Stochastic Optimization Forests Nathan Kallus Xiaojie Mao 24 48 0 17 Aug 2020
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond Nathan Kallus Xiaojie Mao Masatoshi Uehara 23 25 0 30 Dec 2019
Policy Targeting under Network Interference Davide Viviano 30 33 0 24 Jun 2019