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A Simple Unified Framework for High Dimensional Bandit Problems
v1v2v3 (latest)

A Simple Unified Framework for High Dimensional Bandit Problems

International Conference on Machine Learning (ICML), 2021
18 February 2021
Wenjie Li
Adarsh Barik
Jean Honorio
ArXiv (abs)PDFHTMLGithub

Papers citing "A Simple Unified Framework for High Dimensional Bandit Problems"

13 / 13 papers shown
Navigating Sparsities in High-Dimensional Linear Contextual Bandits
Navigating Sparsities in High-Dimensional Linear Contextual Bandits
Rui Zhao
Zihan Chen
Zemin Zheng
117
0
0
09 Oct 2025
On the necessity of adaptive regularisation:Optimal anytime online learning on $\boldsymbol{\ell_p}$-balls
On the necessity of adaptive regularisation:Optimal anytime online learning on ℓp\boldsymbol{\ell_p}ℓp​-balls
Emmeran Johnson
David Martínez-Rubio
Ciara Pike-Burke
Patrick Rebeschini
271
0
0
24 Jun 2025
A Unified Regularization Approach to High-Dimensional Generalized Tensor Bandits
A Unified Regularization Approach to High-Dimensional Generalized Tensor BanditsInternational Symposium on Information Theory (ISIT), 2025
Jiannan Li
Yiyang Yang
Shaojie Tang
Yao Wang
635
0
0
18 Jan 2025
Efficient Low-Rank Matrix Estimation, Experimental Design, and
  Arm-Set-Dependent Low-Rank Bandits
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits
Kyoungseok Jang
Chicheng Zhang
Kwang-Sung Jun
350
5
0
17 Feb 2024
Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems
Efficient Frameworks for Generalized Low-Rank Matrix Bandit ProblemsNeural Information Processing Systems (NeurIPS), 2024
Yue Kang
Cho-Jui Hsieh
T. C. Lee
399
24
0
14 Jan 2024
Efficient Generalized Low-Rank Tensor Contextual Bandits
Efficient Generalized Low-Rank Tensor Contextual Bandits
Qianxin Yi
Yiyang Yang
Shaojie Tang
Jiapeng Liu
Yao Wang
322
0
0
03 Nov 2023
High-dimensional Linear Bandits with Knapsacks
High-dimensional Linear Bandits with KnapsacksInternational Conference on Machine Learning (ICML), 2023
Wanteng Ma
Dong Xia
Jiashuo Jiang
264
1
0
02 Nov 2023
Improved Regret Bounds of (Multinomial) Logistic Bandits via
  Regret-to-Confidence-Set Conversion
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set ConversionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Junghyun Lee
Se-Young Yun
Kwang-Sung Jun
471
22
0
28 Oct 2023
Anytime Model Selection in Linear Bandits
Anytime Model Selection in Linear BanditsNeural Information Processing Systems (NeurIPS), 2023
Parnian Kassraie
N. Emmenegger
Andreas Krause
Aldo Pacchiano
409
7
0
24 Jul 2023
High-dimensional Contextual Bandit Problem without Sparsity
High-dimensional Contextual Bandit Problem without SparsityNeural Information Processing Systems (NeurIPS), 2023
Junpei Komiyama
Masaaki Imaizumi
341
5
0
19 Jun 2023
Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits
Thompson Sampling for High-Dimensional Sparse Linear Contextual BanditsInternational Conference on Machine Learning (ICML), 2022
Sunrit Chakraborty
Saptarshi Roy
Ambuj Tewari
565
15
0
11 Nov 2022
Advertising Media and Target Audience Optimization via High-dimensional
  Bandits
Advertising Media and Target Audience Optimization via High-dimensional Bandits
Wenjia Ba
J. Harrison
Harikesh S. Nair
190
0
0
17 Sep 2022
Model Selection for Generic Contextual Bandits
Model Selection for Generic Contextual BanditsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Avishek Ghosh
Abishek Sankararaman
Kannan Ramchandran
314
7
0
07 Jul 2021
1
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