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Near-optimal inference in adaptive linear regression

Near-optimal inference in adaptive linear regression

5 July 2021
K. Khamaru
Y. Deshpande
Tor Lattimore
Lester W. Mackey
Martin J. Wainwright
ArXivPDFHTML

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

7 / 7 papers shown
Title
Inference with the Upper Confidence Bound Algorithm
Inference with the Upper Confidence Bound Algorithm
K. Khamaru
Cun-Hui Zhang
48
0
0
08 Aug 2024
High-dimensional scaling limits and fluctuations of online least-squares
  SGD with smooth covariance
High-dimensional scaling limits and fluctuations of online least-squares SGD with smooth covariance
Krishnakumar Balasubramanian
Promit Ghosal
Ye He
40
5
0
03 Apr 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
37
10
0
16 Jan 2023
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
43
25
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
39
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
35
11
0
26 May 2022
Online Debiasing for Adaptively Collected High-dimensional Data with
  Applications to Time Series Analysis
Online Debiasing for Adaptively Collected High-dimensional Data with Applications to Time Series Analysis
Y. Deshpande
Adel Javanmard
M. Mehrabi
AI4TS
34
31
0
04 Nov 2019
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