Optimal and Adaptive Off-policy Evaluation in Contextual Bandits

4 December 2016

Papers citing "Optimal and Adaptive Off-policy Evaluation in Contextual Bandits"

50 / 51 papers shown

Title
DOLCE: Decomposing Off-Policy Evaluation/Learning into Lagged and Current Effects Shu Tamano Masanori Nojima OffRL 42 0 0 02 May 2025
Cross-Validated Off-Policy Evaluation Matej Cief Branislav Kveton Michal Kompan OffRL 33 1 0 24 May 2024
Hyperparameter Optimization Can Even be Harmful in Off-Policy Learning and How to Deal with It Yuta Saito Masahiro Nomura OffRL 55 2 0 23 Apr 2024
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces Imad Aouali Victor-Emmanuel Brunel David Rohde Anna Korba OffRL 41 5 0 22 Feb 2024
Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction Haruka Kiyohara Masahiro Nomura Yuta Saito 27 5 0 03 Feb 2024
Individualized Policy Evaluation and Learning under Clustered Network Interference Yi Zhang Kosuke Imai OffRL 42 1 0 04 Nov 2023
Distributional Off-Policy Evaluation for Slate Recommendations Shreyas Chaudhari David Arbour Georgios Theocharous N. Vlassis OffRL 46 0 0 27 Aug 2023
Online learning in bandits with predicted context Yongyi Guo Ziping Xu Susan Murphy 26 4 0 26 Jul 2023
Balanced Off-Policy Evaluation for Personalized Pricing Adam N. Elmachtoub Vishal Gupta Yunfan Zhao OffRL 42 6 0 24 Feb 2023
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits Subhojyoti Mukherjee Qiaomin Xie Josiah P. Hanna R. Nowak OffRL 58 5 0 29 Jan 2023
Kernel-based off-policy estimation without overlap: Instance optimality beyond semiparametric efficiency Wenlong Mou Peng Ding Martin J. Wainwright Peter L. Bartlett OffRL 40 10 0 16 Jan 2023
A Review of Off-Policy Evaluation in Reinforcement Learning Masatoshi Uehara C. Shi Nathan Kallus OffRL 43 69 0 13 Dec 2022
Bayesian Counterfactual Mean Embeddings and Off-Policy Evaluation Diego Martinez-Taboada Dino Sejdinovic CML OffRL 27 0 0 02 Nov 2022
Deploying a Steered Query Optimizer in Production at Microsoft Wangda Zhang Matteo Interlandi Paul Mineiro S. Qiao Nasim Ghazanfari Marc T. Friedman Rafah Hosn Hiren Patel Alekh Jindal 28 23 0 24 Oct 2022
Off-policy estimation of linear functionals: Non-asymptotic theory for semi-parametric efficiency Wenlong Mou Martin J. Wainwright Peter L. Bartlett OffRL 43 11 0 26 Sep 2022
Fast Offline Policy Optimization for Large Scale Recommendation Otmane Sakhi D. Rohde Alexandre Gilotte OffRL 50 3 0 08 Aug 2022
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems Lequn Wang Thorsten Joachims 30 22 0 30 May 2022
Safe Exploration for Efficient Policy Evaluation and Comparison Runzhe Wan Branislav Kveton Rui Song OffRL 38 10 0 26 Feb 2022
Off-Policy Evaluation Using Information Borrowing and Context-Based Switching Sutanoy Dasgupta Yabo Niu Kishan Panaganti D. Kalathil D. Pati Bani Mallick OffRL 31 0 0 18 Dec 2021
Safe Data Collection for Offline and Online Policy Learning Ruihao Zhu Branislav Kveton OffRL 21 5 0 08 Nov 2021
Off-Policy Evaluation in Partially Observed Markov Decision Processes under Sequential Ignorability Yupeng Tang Seung-seob Lee OffRL 59 22 0 24 Oct 2021
Continual Learning for Grounded Instruction Generation by Observing Human Following Behavior Noriyuki Kojima Alane Suhr Yoav Artzi 30 24 0 10 Aug 2021
Bandit Algorithms for Precision Medicine Yangyi Lu Ziping Xu Ambuj Tewari 66 11 0 10 Aug 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 27 6 0 07 Jul 2021
Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings Ming Yin Yu Wang OffRL 36 19 0 13 May 2021
Policy Learning with Adaptively Collected Data Ruohan Zhan Zhimei Ren Susan Athey Zhengyuan Zhou OffRL 45 27 0 05 May 2021
Off-Policy Risk Assessment in Contextual Bandits Audrey Huang Liu Leqi Zachary Chase Lipton Kamyar Azizzadenesheli OffRL 32 36 0 18 Apr 2021
Benchmarks for Deep Off-Policy Evaluation Justin Fu Mohammad Norouzi Ofir Nachum George Tucker Ziyun Wang ... Yutian Chen Aviral Kumar Cosmin Paduraru Sergey Levine T. Paine ELM OffRL 35 100 0 30 Mar 2021
Instabilities of Offline RL with Pre-Trained Neural Representation Ruosong Wang Yifan Wu Ruslan Salakhutdinov Sham Kakade OffRL 22 42 0 08 Mar 2021
Estimating Average Treatment Effects via Orthogonal Regularization Tobias Hatt Stefan Feuerriegel CML 164 35 0 21 Jan 2021
Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation Yuta Saito Shunsuke Aihara Megumi Matsutani Yusuke Narita OffRL 24 73 0 17 Aug 2020
Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning Ming Yin Yu Bai Yu Wang OffRL 44 31 0 07 Jul 2020
Off-policy Bandits with Deficient Support Noveen Sachdeva Yi-Hsun Su Thorsten Joachims OffRL 38 75 0 16 Jun 2020
Batch Stationary Distribution Estimation Junfeng Wen Bo Dai Lihong Li Dale Schuurmans OffRL 22 22 0 02 Mar 2020
Asymptotically Efficient Off-Policy Evaluation for Tabular Reinforcement Learning Ming Yin Yu Wang OffRL 29 80 0 29 Jan 2020
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning Cameron Voloshin Hoang Minh Le Nan Jiang Yisong Yue OffRL 32 152 0 15 Nov 2019
Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation Ziyang Tang Yihao Feng Lihong Li Dengyong Zhou Qiang Liu OffRL 30 67 0 16 Oct 2019
Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies Xinyun Chen Lu Wang Yizhe Hang Heng Ge H. Zha OffRL 14 5 0 10 Oct 2019
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes Nathan Kallus Masatoshi Uehara OffRL 41 183 0 22 Aug 2019
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections Ofir Nachum Yinlam Chow Bo Dai Lihong Li OffRL 13 328 0 10 Jun 2019
Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning Nathan Kallus Masatoshi Uehara OffRL 22 54 0 09 Jun 2019
Balanced off-policy evaluation in general action spaces A. Sondhi David Arbour Drew Dimmery OffRL 29 17 0 09 Jun 2019
Empirical Likelihood for Contextual Bandits Nikos Karampatziakis John Langford Paul Mineiro OffRL 23 9 0 07 Jun 2019
Imitation-Regularized Offline Learning Yifei Ma Yu Wang Balakrishnan Balakrishnan Narayanaswamy OffRL 14 22 0 15 Jan 2019
CAB: Continuous Adaptive Blending Estimator for Policy Evaluation and Learning Yi-Hsun Su Lequn Wang Michele Santacatterina Mohsen Guizani CML OffRL 12 6 0 06 Nov 2018
Confounding-Robust Policy Improvement Nathan Kallus Angela Zhou CML OffRL 40 152 0 22 May 2018
The Mirage of Action-Dependent Baselines in Reinforcement Learning George Tucker Surya Bhupatiraju S. Gu Richard Turner Zoubin Ghahramani Sergey Levine OffRL 30 126 0 27 Feb 2018
Active Learning with Logged Data Songbai Yan Kamalika Chaudhuri T. Javidi 26 27 0 25 Feb 2018
Policy Evaluation and Optimization with Continuous Treatments Nathan Kallus Angela Zhou OffRL 11 132 0 16 Feb 2018
Estimation Considerations in Contextual Bandits Maria Dimakopoulou Zhengyuan Zhou Susan Athey Guido Imbens 32 69 0 19 Nov 2017