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Near-optimal inference in adaptive linear regression
v1v2v3 (latest)

Near-optimal inference in adaptive linear regression

5 July 2021
K. Khamaru
Y. Deshpande
Tor Lattimore
Lester W. Mackey
Martin J. Wainwright
ArXiv (abs)PDFHTML

Papers citing "Near-optimal inference in adaptive linear regression"

7 / 7 papers shown
Title
Semi-parametric inference based on adaptively collected data
Semi-parametric inference based on adaptively collected data
Licong Lin
K. Khamaru
Martin J. Wainwright
OffRL
82
7
0
05 Mar 2023
Kernel-based off-policy estimation without overlap: Instance optimality
  beyond semiparametric efficiency
Kernel-based off-policy estimation without overlap: Instance optimality beyond semiparametric efficiency
Wenlong Mou
Peng Ding
Martin J. Wainwright
Peter L. Bartlett
OffRL
79
11
0
16 Jan 2023
Online Statistical Inference for Contextual Bandits via Stochastic
  Gradient Descent
Online Statistical Inference for Contextual Bandits via Stochastic Gradient Descent
Xinyu Chen
Zehua Lai
He Li
Yichen Zhang
80
4
0
30 Dec 2022
Anytime-valid off-policy inference for contextual bandits
Anytime-valid off-policy inference for contextual bandits
Ian Waudby-Smith
Lili Wu
Aaditya Ramdas
Nikos Karampatziakis
Paul Mineiro
OffRL
119
30
0
19 Oct 2022
Off-policy estimation of linear functionals: Non-asymptotic theory for
  semi-parametric efficiency
Off-policy estimation of linear functionals: Non-asymptotic theory for semi-parametric efficiency
Wenlong Mou
Martin J. Wainwright
Peter L. Bartlett
OffRL
113
11
0
26 Sep 2022
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert
  Spaces
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces
Mojmír Mutný
Andreas Krause
101
11
0
26 May 2022
Doubly Robust Interval Estimation for Optimal Policy Evaluation in
  Online Learning
Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning
Ye Shen
Hengrui Cai
Rui Song
OffRL
124
2
0
29 Oct 2021
1