Post-Contextual-Bandit Inference

1 June 2021

Papers citing "Post-Contextual-Bandit Inference"

24 / 24 papers shown

Title
Statistical Inference in Reinforcement Learning: A Selective Survey Chengchun Shi OffRL 177 2 0 22 Feb 2025
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits Ruohan Zhan Vitor Hadad David A. Hirshberg Susan Athey OffRL 41 61 0 03 Jun 2021
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning Aurélien F. Bibaut Antoine Chambaz Maria Dimakopoulou Nathan Kallus Mark van der Laan OffRL 34 13 0 03 Jun 2021
Statistical Inference with M-Estimators on Adaptively Collected Data Kelly W. Zhang Lucas Janson Susan Murphy OffRL 40 43 0 29 Apr 2021
Confidence Intervals for Policy Evaluation in Adaptive Experiments Vitor Hadad David A. Hirshberg Ruohan Zhan Stefan Wager Susan Athey 36 143 0 07 Nov 2019
Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with Double Reinforcement Learning Nathan Kallus Masatoshi Uehara OffRL 47 91 0 12 Sep 2019
Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning Nathan Kallus Masatoshi Uehara OffRL 55 54 0 09 Jun 2019
On the bias, risk and consistency of sample means in multi-armed bandits Jaehyeok Shin Aaditya Ramdas Alessandro Rinaldo 36 35 0 02 Feb 2019
More Robust Doubly Robust Off-policy Evaluation Mehrdad Farajtabar Yinlam Chow Mohammad Ghavamzadeh OffRL 54 267 0 10 Feb 2018
Estimation Considerations in Contextual Bandits Maria Dimakopoulou Zhengyuan Zhou Susan Athey Guido Imbens 85 69 0 19 Nov 2017
OpenML Benchmarking Suites B. Bischl Giuseppe Casalicchio Matthias Feurer Pieter Gijsbers Frank Hutter Michel Lang R. G. Mantovani Jan N. van Rijn Joaquin Vanschoren VLM ELM 65 156 0 11 Aug 2017
Why Adaptively Collected Data Have Negative Bias and How to Correct for It Xinkun Nie Xiaoying Tian Jonathan E. Taylor James Zou OnRL 48 88 0 07 Aug 2017
Balanced Policy Evaluation and Learning Nathan Kallus CML OffRL 229 141 0 21 May 2017
Optimal and Adaptive Off-policy Evaluation in Contextual Bandits Yu Wang Alekh Agarwal Miroslav Dudík OffRL 59 220 0 04 Dec 2016
Dynamic Assortment Personalization in High Dimensions Nathan Kallus Madeleine Udell 91 66 0 18 Oct 2016
Dynamic Pricing with Demand Covariates Sheng Qiang Mohsen Bayati 78 116 0 25 Apr 2016
Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning Philip S. Thomas Emma Brunskill OffRL 233 573 0 04 Apr 2016
Statistical inference for the mean outcome under a possibly non-unique optimal treatment strategy Alexander Luedtke M. J. van der Laan 70 220 0 24 Mar 2016
Doubly Robust Policy Evaluation and Optimization Miroslav Dudík D. Erhan John Langford Lihong Li OffRL 124 285 0 10 Mar 2015
Doubly Robust Policy Evaluation and Learning Miroslav Dudík John Langford Lihong Li OffRL 162 694 0 23 Mar 2011
Unbiased Offline Evaluation of Contextual-bandit-based News Article Recommendation Algorithms Lihong Li Wei Chu John Langford Xuanhui Wang OffRL 154 574 0 31 Mar 2010
A Contextual-Bandit Approach to Personalized News Article Recommendation Lihong Li Wei Chu John Langford Robert Schapire 285 2,935 0 28 Feb 2010
On the minimal penalty for Markov order estimation R. Handel 79 34 0 25 Aug 2009
The Offset Tree for Learning with Partial Labels A. Beygelzimer John Langford 117 184 0 21 Dec 2008