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PopArt: Efficient Sparse Regression and Experimental Design for Optimal
  Sparse Linear Bandits

PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits

25 October 2022
Kyoungseok Jang
Chicheng Zhang
Kwang-Sung Jun
ArXivPDFHTML

Papers citing "PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits"

19 / 19 papers shown
Title
A Unified Regularization Approach to High-Dimensional Generalized Tensor Bandits
A Unified Regularization Approach to High-Dimensional Generalized Tensor Bandits
Jiannan Li
Yiyang Yang
Shaojie Tang
Yao Wang
204
0
0
18 Jan 2025
Nearly Optimal Algorithms for Level Set Estimation
Nearly Optimal Algorithms for Level Set Estimation
Blake Mason
Romain Camilleri
Subhojyoti Mukherjee
Kevin Jamieson
Robert D. Nowak
Lalit P. Jain
53
23
0
02 Nov 2021
High-Dimensional Experimental Design and Kernel Bandits
High-Dimensional Experimental Design and Kernel Bandits
Romain Camilleri
Julian Katz-Samuels
Kevin Jamieson
47
56
0
12 May 2021
High-Dimensional Sparse Linear Bandits
High-Dimensional Sparse Linear Bandits
Botao Hao
Tor Lattimore
Mengdi Wang
78
62
0
08 Nov 2020
Design of $c$-Optimal Experiments for High dimensional Linear Models
Design of ccc-Optimal Experiments for High dimensional Linear Models
Hamid Eftekhari
Moulinath Banerjee
Yaácov Ritov
67
2
0
23 Oct 2020
Sparsity-Agnostic Lasso Bandit
Sparsity-Agnostic Lasso Bandit
Min Hwan Oh
G. Iyengar
A. Zeevi
48
45
0
16 Jul 2020
Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed
  Analysis
Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis
V. Sivakumar
Zhiwei Steven Wu
A. Banerjee
37
22
0
26 Feb 2020
Doubly-Robust Lasso Bandit
Doubly-Robust Lasso Bandit
Gi-Soo Kim
M. Paik
71
62
0
26 Jul 2019
Sequential Experimental Design for Transductive Linear Bandits
Sequential Experimental Design for Transductive Linear Bandits
Tanner Fiez
Lalit P. Jain
Kevin Jamieson
Lillian J. Ratliff
72
108
0
20 Jun 2019
Mean estimation and regression under heavy-tailed distributions--a
  survey
Mean estimation and regression under heavy-tailed distributions--a survey
Gabor Lugosi
S. Mendelson
98
242
0
10 Jun 2019
Semi-Parametric Efficient Policy Learning with Continuous Actions
Semi-Parametric Efficient Policy Learning with Continuous Actions
Mert Demirer
Vasilis Syrgkanis
Greg Lewis
Victor Chernozhukov
OffRL
110
51
0
24 May 2019
On tight bounds for the Lasso
On tight bounds for the Lasso
Sara van de Geer
34
18
0
03 Apr 2018
The Simulator: Understanding Adaptive Sampling in the
  Moderate-Confidence Regime
The Simulator: Understanding Adaptive Sampling in the Moderate-Confidence Regime
Max Simchowitz
Kevin Jamieson
Benjamin Recht
128
66
0
16 Feb 2017
Best-Arm Identification in Linear Bandits
Best-Arm Identification in Linear Bandits
Marta Soare
A. Lazaric
Rémi Munos
65
178
0
22 Sep 2014
Confidence Intervals and Hypothesis Testing for High-Dimensional
  Regression
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
Adel Javanmard
Andrea Montanari
240
768
0
13 Jun 2013
Bandit Theory meets Compressed Sensing for high dimensional Stochastic
  Linear Bandit
Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit
Alexandra Carpentier
Rémi Munos
80
102
0
18 May 2012
Doubly Robust Policy Evaluation and Learning
Doubly Robust Policy Evaluation and Learning
Miroslav Dudík
John Langford
Lihong Li
OffRL
339
697
0
23 Mar 2011
Challenging the empirical mean and empirical variance: a deviation study
Challenging the empirical mean and empirical variance: a deviation study
O. Catoni
169
463
0
10 Sep 2010
A Contextual-Bandit Approach to Personalized News Article Recommendation
A Contextual-Bandit Approach to Personalized News Article Recommendation
Lihong Li
Wei Chu
John Langford
Robert Schapire
459
2,951
0
28 Feb 2010
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