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Confidence Intervals for Policy Evaluation in Adaptive Experiments

Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2019

7 November 2019

Papers citing "Confidence Intervals for Policy Evaluation in Adaptive Experiments"

50 / 81 papers shown

Title
Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates via Generalized Riesz Regression Masahiro Kato CML 193 0 0 11 Nov 2025
Bernstein-von Mises for Adaptively Collected Data Kevin Du Yash Nair Lucas Janson 48 0 0 10 Nov 2025
Kernel Treatment Effects with Adaptively Collected Data Houssam Zenati Bariscan Bozkurt Arthur Gretton 77 0 0 11 Oct 2025
ISMIE: A Framework to Characterize Information Seeking in Modern Information Environments Shuoqi Sun Danula Hettiachchi Damiano Spina 97 0 0 09 Oct 2025
Adaptive Off-Policy Inference for M-Estimators Under Model Misspecification James Leiner Robin Dunn Aaditya Ramdas OffRL 81 0 0 17 Sep 2025
Algorithm Adaptation Bias in Recommendation System Online Experiments Chen Zheng Zhenyu Zhao OffRL 44 0 0 29 Aug 2025
Auctions Meet Bandits: An Empirical Analysis Mohammad Rashid Omid Rafieian Soheil Ghili 52 0 0 28 Aug 2025
Admissibility of Completely Randomized Trials: A Large-Deviation ApproachACM Conference on Economics and Computation (EC), 2025 Guido Imbens Chao Qin Stefan Wager 222 0 0 05 Jun 2025
Simulation-Based Inference for Adaptive Experiments Brian M Cho Aurélien F. Bibaut Nathan Kallus 112 0 0 03 Jun 2025
A characterization of sample adaptivity in UCB data Yilun Chen Jiaqi Lu 148 0 0 06 Mar 2025
Statistical Inference in Reinforcement Learning: A Selective Survey Chengchun Shi OffRL 505 3 0 22 Feb 2025
UCB algorithms for multi-armed bandits: Precise regret and adaptive inference Q. Han K. Khamaru Cun-Hui Zhang 271 6 0 09 Dec 2024
Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment EffectInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Ojash Neopane Aaditya Ramdas Aarti Singh CML 210 3 0 21 Nov 2024
Off-policy estimation with adaptively collected data: the power of online learningNeural Information Processing Systems (NeurIPS), 2024 Jeonghwan Lee Cong Ma OffRL 254 1 0 19 Nov 2024
Linear Contextual Bandits with Interference Yang Xu Wenbin Lu Rui Song 166 3 0 24 Sep 2024
Inference with the Upper Confidence Bound Algorithm K. Khamaru Cun-Hui Zhang 177 3 0 08 Aug 2024
Demistifying Inference after Adaptive Experiments Aurélien F. Bibaut Nathan Kallus 158 2 0 02 May 2024
Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices Masahiro Kato Akihiro Oga Wataru Komatsubara Ryo Inokuchi 223 7 0 06 Mar 2024
Active Statistical Inference Tijana Zrnic Emmanuel J. Candès 231 23 0 05 Mar 2024
Monitoring Fidelity of Online Reinforcement Learning Algorithms in Clinical Trials Anna L. Trella Kelly W. Zhang Inbal Nahum-Shani Vivek Shetty Iris Yan Finale Doshi-Velez Susan A. Murphy OffRL OnRL 178 4 0 26 Feb 2024
Best of Three Worlds: Adaptive Experimentation for Digital Marketing in Practice Tanner Fiez Houssam Nassif Yu-Cheng Chen Sergio Gamez Lalit P. Jain 293 7 0 16 Feb 2024
Crowdsourced Adaptive SurveysPolitical Analysis (Pol. Anal.), 2024 Yamil Velez 43 3 0 16 Jan 2024
Adaptive Experimental Design for Policy Learning Masahiro Kato Kyohei Okumura Takuya Ishihara Toru Kitagawa OffRL 319 0 0 08 Jan 2024
Multi-Agent Join Vahid Ghadakchi Mian Xie Arash Termehchy Bakhtiyar Doskenov Bharghav Srikhakollu Summit Haque Huazheng Wang 134 0 0 21 Dec 2023
Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances Masahiro Kato 233 3 0 20 Dec 2023
Semiparametric Efficient Inference in Adaptive ExperimentsCLEaR (CLEaR), 2023 Thomas Cook Alan Mishler Aaditya Ramdas 237 20 0 30 Nov 2023
Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health studyAnnals of Applied Statistics (AOAS), 2023 Xueqing Liu Nina Deliu Tanujit Chakraborty Lauren Bell Bibhas Chakraborty 126 3 0 24 Nov 2023
A decorrelation method for general regression adjustment in randomized experiments Fangzhou Su Wenlong Mou Peng Ding Martin J. Wainwright 153 2 0 16 Nov 2023
An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits Biyonka Liang Iavor Bojinov 229 8 0 09 Nov 2023
Worst-Case Optimal Multi-Armed Gaussian Best Arm Identification with a Fixed Budget Masahiro Kato 291 3 0 30 Oct 2023
Opportunities for Adaptive Experiments to Enable Continuous Improvement in Computer Science EducationWestern Canadian Conference on Computing Education (WCCCE), 2023 Ilya Musabirov Angela M. Zavaleta Bernuy Pan Chen Michael Liut Joseph Jay Williams 112 1 0 18 Oct 2023
A Semiparametric Instrumented Difference-in-Differences Approach to Policy Learning Pan Zhao Yifan Cui CML 223 2 0 14 Oct 2023
Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and InferenceNeural Information Processing Systems (NeurIPS), 2023 Licong Lin Mufang Ying Suvrojit Ghosh K. Khamaru Cun-Hui Zhang 206 3 0 01 Oct 2023
Double machine learning and design in batch adaptive experimentsJournal of Causal Inference (JCI), 2023 Harrison H. Li Art B. Owen 33 5 0 26 Sep 2023
Optimal Conditional Inference in Adaptive Experiments Jiafeng Chen Isaiah Andrews 156 4 0 21 Sep 2023
Adaptive Linear Estimating EquationsNeural Information Processing Systems (NeurIPS), 2023 Mufang Ying K. Khamaru Cun-Hui Zhang 261 6 0 14 Jul 2023
Proportional Response: Contextual Bandits for Simple and Cumulative Regret MinimizationNeural Information Processing Systems (NeurIPS), 2023 Sanath Kumar Krishnamurthy Ruohan Zhan Susan Athey Emma Brunskill 342 7 0 05 Jul 2023
Adaptive Principal Component Regression with Applications to Panel DataNeural Information Processing Systems (NeurIPS), 2023 Anish Agarwal Keegan Harris Justin Whitehouse Zhiwei Steven Wu 203 7 0 03 Jul 2023
Statistical Inference on Multi-armed Bandits with Delayed FeedbackInternational Conference on Machine Learning (ICML), 2023 Lei Shi Jingshen Wang Tianhao Wu 240 7 0 03 Jul 2023
Should I Stop or Should I Go: Early Stopping with Heterogeneous PopulationsNeural Information Processing Systems (NeurIPS), 2023 Hammaad Adam Fan Yin Huibin Mary Hu Neil A. Tenenholtz Lorin Crawford Lester W. Mackey Allison Koenecke 186 4 0 20 Jun 2023
Practical Batch Bayesian Sampling Algorithms for Online Adaptive Traffic ExperimentationThe Web Conference (WWW), 2023 Zezhong Zhang T. Yuan 159 1 0 24 May 2023
Optimal tests following sequential experiments Karun Adusumilli 184 3 0 30 Apr 2023
Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resamplingMachine-mediated learning (ML), 2023 Susobhan Ghosh Raphael Kim Prasidh Chhabria Raaz Dwivedi Predrag Klasjna Peng Liao Kelly Zhang Susan Murphy OffRL 325 12 0 11 Apr 2023
Adaptive Experimentation at Scale: A Computational Framework for Flexible Batches Ethan Che Hongseok Namkoong OffRL 281 3 0 21 Mar 2023
Semi-parametric inference based on adaptively collected data Licong Lin K. Khamaru Martin J. Wainwright OffRL 209 7 0 05 Mar 2023
Design-Based Inference for Multi-arm Bandits D. Ham Iavor Bojinov Michael Lindon M. Tingley 191 2 0 27 Feb 2023
Asymptotically Optimal Fixed-Budget Best Arm Identification with Variance-Dependent Bounds Masahiro Kato Masaaki Imaizumi Takuya Ishihara T. Kitagawa 274 2 0 06 Feb 2023
Policy learning "without" overlap: Pessimism and generalized empirical Bernstein's inequality Ying Jin Zhimei Ren Zhuoran Yang Zhaoran Wang OffRL 370 30 0 19 Dec 2022
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 235 14 0 22 Nov 2022
Anytime-valid off-policy inference for contextual banditsACM / IMS Journal of Data Science (JDS), 2022 Ian Waudby-Smith Lili Wu Aaditya Ramdas Nikos Karampatziakis Paul Mineiro OffRL 321 38 0 19 Oct 2022