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Statistical Inference with M-Estimators on Adaptively Collected Data

Statistical Inference with M-Estimators on Adaptively Collected Data

29 April 2021
Kelly W. Zhang
Lucas Janson
Susan Murphy
    OffRL
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Papers citing "Statistical Inference with M-Estimators on Adaptively Collected Data"

17 / 17 papers shown
Title
Efficient Adaptive Experimentation with Non-Compliance
Efficient Adaptive Experimentation with Non-Compliance
Miruna Oprescu
Brian M Cho
Nathan Kallus
110
0
0
23 May 2025
Online Estimation and Inference for Robust Policy Evaluation in Reinforcement Learning
Online Estimation and Inference for Robust Policy Evaluation in Reinforcement Learning
Weidong Liu
Jiyuan Tu
Yichen Zhang
Xi Chen
OffRL
45
4
0
04 Oct 2023
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual
  Bandits
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits
Ruohan Zhan
Vitor Hadad
David A. Hirshberg
Susan Athey
OffRL
36
61
0
03 Jun 2021
Post-Contextual-Bandit Inference
Post-Contextual-Bandit Inference
Aurélien F. Bibaut
Antoine Chambaz
Maria Dimakopoulou
Nathan Kallus
Mark van der Laan
42
40
0
01 Jun 2021
Statistical Inference for Online Decision-Making: In a Contextual Bandit
  Setting
Statistical Inference for Online Decision-Making: In a Contextual Bandit Setting
Haoyu Chen
Wenbin Lu
R. Song
OffRL
39
30
0
14 Oct 2020
Power Constrained Bandits
Power Constrained Bandits
Jiayu Yao
Emma Brunskill
Weiwei Pan
Susan Murphy
Finale Doshi-Velez
57
36
0
13 Apr 2020
Inference for Batched Bandits
Inference for Batched Bandits
Kelly W. Zhang
Lucas Janson
Susan Murphy
64
82
0
08 Feb 2020
Confidence Intervals for Policy Evaluation in Adaptive Experiments
Confidence Intervals for Policy Evaluation in Adaptive Experiments
Vitor Hadad
David A. Hirshberg
Ruohan Zhan
Stefan Wager
Susan Athey
31
143
0
07 Nov 2019
Double Reinforcement Learning for Efficient Off-Policy Evaluation in
  Markov Decision Processes
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes
Nathan Kallus
Masatoshi Uehara
OffRL
66
185
0
22 Aug 2019
Regret Bounds for Robust Adaptive Control of the Linear Quadratic
  Regulator
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator
Sarah Dean
Horia Mania
Nikolai Matni
Benjamin Recht
Stephen Tu
31
283
0
23 May 2018
Accurate Inference for Adaptive Linear Models
Accurate Inference for Adaptive Linear Models
Y. Deshpande
Lester W. Mackey
Vasilis Syrgkanis
Matt Taddy
OffRL
55
61
0
18 Dec 2017
Optimal and Adaptive Off-policy Evaluation in Contextual Bandits
Optimal and Adaptive Off-policy Evaluation in Contextual Bandits
Yu Wang
Alekh Agarwal
Miroslav Dudík
OffRL
59
220
0
04 Dec 2016
A Reinforcement Learning System to Encourage Physical Activity in
  Diabetes Patients
A Reinforcement Learning System to Encourage Physical Activity in Diabetes Patients
I. Hochberg
G. Feraru
Mark Kozdoba
Shie Mannor
Moshe Tennenholtz
E. Yom-Tov
22
167
0
13 May 2016
Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning
Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning
Philip S. Thomas
Emma Brunskill
OffRL
225
573
0
04 Apr 2016
Uniformity and the delta method
Uniformity and the delta method
Maximilian Kasy
33
33
0
21 Jul 2015
Thompson Sampling for Contextual Bandits with Linear Payoffs
Thompson Sampling for Contextual Bandits with Linear Payoffs
Shipra Agrawal
Navin Goyal
133
993
0
15 Sep 2012
On the uniform asymptotic validity of subsampling and the bootstrap
On the uniform asymptotic validity of subsampling and the bootstrap
Joseph P. Romano
A. Shaikh
88
103
0
12 Apr 2012
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