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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"

31 / 81 papers shown

Title
Best Arm Identification with Contextual Information under a Small Gap Masahiro Kato Masaaki Imaizumi Takuya Ishihara T. Kitagawa 347 3 0 15 Sep 2022
Multi-disciplinary fairness considerations in machine learning for clinical trialsConference on Fairness, Accountability and Transparency (FAccT), 2022 Isabel Chien Nina Deliu Richard Turner Adrian Weller S. Villar Niki Kilbertus FaML 132 26 0 18 May 2022
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive InterventionsInternational Statistical Review (ISR), 2022 Nina Deliu Joseph Jay Williams B. Chakraborty OffRL 217 16 0 04 Mar 2022
Synthetically Controlled Bandits Vivek Farias C. Moallemi Tianyi Peng Andrew Zheng 202 13 0 14 Feb 2022
Optimal Best Arm Identification in Two-Armed Bandits with a Fixed Budget under a Small Gap Masahiro Kato Kaito Ariu Masaaki Imaizumi and Masahiro Nomura Chao Qin 565 3 0 12 Jan 2022
Efficient Inference Without Trading-off Regret in Bandits: An Allocation Probability Test for Thompson Sampling Nina Deliu Joseph Jay Williams S. Villar 213 12 0 30 Oct 2021
Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online LearningJournal of the American Statistical Association (JASA), 2021 Ye Shen Hengrui Cai Rui Song OffRL 333 6 0 29 Oct 2021
Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making Alex Chohlas-Wood Madison Coots Henry Zhu Emma Brunskill Sharad Goel FaML 251 31 0 18 Sep 2021
Debiasing Samples from Online Learning Using BootstrapInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Yi Xiong Ningyuan Chen Yi Xiong OffRL OnRL 225 5 0 31 Jul 2021
Near-optimal inference in adaptive linear regression K. Khamaru Y. Deshpande Tor Lattimore Lester W. Mackey Martin J. Wainwright 255 19 0 05 Jul 2021
A Closer Look at the Worst-case Behavior of Multi-armed Bandit AlgorithmsNeural Information Processing Systems (NeurIPS), 2021 Anand Kalvit A. Zeevi 234 38 0 03 Jun 2021
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual BanditsKnowledge Discovery and Data Mining (KDD), 2021 Ruohan Zhan Vitor Hadad David A. Hirshberg Susan Athey OffRL 241 71 0 03 Jun 2021
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy LearningNeural Information Processing Systems (NeurIPS), 2021 Aurélien F. Bibaut Antoine Chambaz Maria Dimakopoulou Nathan Kallus Mark van der Laan OffRL 166 17 0 03 Jun 2021
Post-Contextual-Bandit InferenceNeural Information Processing Systems (NeurIPS), 2021 Aurélien F. Bibaut Antoine Chambaz Maria Dimakopoulou Nathan Kallus Mark van der Laan 150 47 0 01 Jun 2021
Deeply-Debiased Off-Policy Interval EstimationInternational Conference on Machine Learning (ICML), 2021 C. Shi Runzhe Wan Victor Chernozhukov R. Song OffRL 193 43 0 10 May 2021
Policy Learning with Adaptively Collected DataManagement Sciences (MS), 2021 Ruohan Zhan Zhimei Ren Susan Athey Zhengyuan Zhou OffRL 235 31 0 05 May 2021
Statistical Inference with M-Estimators on Adaptively Collected DataNeural Information Processing Systems (NeurIPS), 2021 Kelly W. Zhang Lucas Janson Susan Murphy OffRL 153 52 0 29 Apr 2021
Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments Joseph Jay Williams Jacob Nogas Nina Deliu Hammad Shaikh S. Villar A. Durand Anna N. Rafferty AAML 147 11 0 22 Mar 2021
Online Multi-Armed Bandits with Adaptive InferenceNeural Information Processing Systems (NeurIPS), 2021 Maria Dimakopoulou Zhimei Ren Zhengyuan Zhou 179 41 0 25 Feb 2021
Adaptive Doubly Robust Estimator from Non-stationary Logging Policy under a Convergence of Average Probability Masahiro Kato OffRL 182 0 0 17 Feb 2021
Weak Signal Asymptotics for Sequentially Randomized ExperimentsManagement Sciences (MS), 2021 Xueheng Kuang Stefan Wager 451 11 0 25 Jan 2021
Policy design in experiments with unknown interference Davide Viviano Jess Rudder 375 10 0 16 Nov 2020
Off-Policy Evaluation of Bandit Algorithm from Dependent Samples under Batch Update Policy Masahiro Kato Yusuke Kaneko OffRL 145 4 0 23 Oct 2020
Optimal Off-Policy Evaluation from Multiple Logging Policies Nathan Kallus Yuta Saito Masatoshi Uehara OffRL 233 43 0 21 Oct 2020
The Adaptive Doubly Robust Estimator for Policy Evaluation in Adaptive Experiments and a Paradox Concerning Logging Policy Masahiro Kato Shota Yasui K. McAlinn OffRL 221 0 0 08 Oct 2020
Confidence Interval for Off-Policy Evaluation from Dependent Samples via Bandit Algorithm: Approach from Standardized Martingales Masahiro Kato OffRL 113 3 0 12 Jun 2020
Power Constrained BanditsMachine Learning in Health Care (MLHC), 2020 Jiayu Yao Emma Brunskill Weiwei Pan Susan Murphy Finale Doshi-Velez 291 42 0 13 Apr 2020
Panel Experiments and Dynamic Causal Effects: A Finite Population PerspectiveQuantitative Economics (Quant. Econ.), 2020 Iavor Bojinov Ashesh Rambachan N. Shephard 277 55 0 22 Mar 2020
On conditional versus marginal bias in multi-armed banditsInternational Conference on Machine Learning (ICML), 2020 Jaehyeok Shin Aaditya Ramdas Alessandro Rinaldo 188 13 0 19 Feb 2020
Inference for Batched BanditsNeural Information Processing Systems (NeurIPS), 2020 Kelly W. Zhang Lucas Janson Susan Murphy 305 102 0 08 Feb 2020
Online Causal Inference for Advertising in Real-Time Bidding AuctionsMarketing science (Providence, R.I.) (MSPRI), 2019 Caio Waisman Harikesh S. Nair Carlos Carrion CML 247 13 0 22 Aug 2019