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Best-of-three-worlds Analysis for Linear Bandits with
  Follow-the-regularized-leader Algorithm

Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm

13 March 2023
Fang-yuan Kong
Canzhe Zhao
Shuai Li
ArXivPDFHTML

Papers citing "Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm"

5 / 5 papers shown
Title
uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs
uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs
Yu Chen
Jiatai Huang
Yan Dai
Longbo Huang
24
0
0
04 Oct 2024
LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual
  Bandits
LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits
Masahiro Kato
Shinji Ito
19
0
0
05 Mar 2024
Best-of-Both-Worlds Linear Contextual Bandits
Best-of-Both-Worlds Linear Contextual Bandits
Masahiro Kato
Shinji Ito
26
0
0
27 Dec 2023
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial
  Corruptions
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions
Jiafan He
Dongruo Zhou
Tong Zhang
Quanquan Gu
61
46
0
13 May 2022
On Optimal Robustness to Adversarial Corruption in Online Decision
  Problems
On Optimal Robustness to Adversarial Corruption in Online Decision Problems
Shinji Ito
32
22
0
22 Sep 2021
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