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An Experimental Design Approach for Regret Minimization in Logistic
  Bandits

An Experimental Design Approach for Regret Minimization in Logistic Bandits

4 February 2022
Blake Mason
Kwang-Sung Jun
Lalit P. Jain
ArXiv (abs)PDFHTML

Papers citing "An Experimental Design Approach for Regret Minimization in Logistic Bandits"

4 / 4 papers shown
Title
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
Junghyun Lee
Se-Young Yun
Kwang-Sung Jun
189
6
0
19 Jul 2024
Generalized Linear Bandits with Limited Adaptivity
Generalized Linear Bandits with Limited Adaptivity
Ayush Sawarni
Nirjhar Das
Siddharth Barman
Gaurav Sinha
189
5
0
10 Apr 2024
Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded
  Rewards
Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards
Hao Qin
Kwang-Sung Jun
Chicheng Zhang
86
1
0
28 Apr 2023
Apple Tasting Revisited: Bayesian Approaches to Partially Monitored
  Online Binary Classification
Apple Tasting Revisited: Bayesian Approaches to Partially Monitored Online Binary Classification
James A. Grant
David S. Leslie
82
3
0
29 Sep 2021
1