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A Closer Look at the Worst-case Behavior of Multi-armed Bandit
  Algorithms
v1v2v3 (latest)

A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms

3 June 2021
Anand Kalvit
A. Zeevi
ArXiv (abs)PDFHTML

Papers citing "A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms"

8 / 8 papers shown
Title
A characterization of sample adaptivity in UCB data
Yilun Chen
Jiaqi Lu
65
0
0
06 Mar 2025
Zero-Inflated Bandits
Zero-Inflated Bandits
Haoyu Wei
Runzhe Wan
Lei Shi
Rui Song
104
0
0
25 Dec 2023
Generalized Regret Analysis of Thompson Sampling using Fractional
  Posteriors
Generalized Regret Analysis of Thompson Sampling using Fractional Posteriors
Prateek Jaiswal
D. Pati
A. Bhattacharya
Bani Mallick
23
0
0
12 Sep 2023
Complexity Analysis of a Countable-armed Bandit Problem
Complexity Analysis of a Countable-armed Bandit Problem
Anand Kalvit
A. Zeevi
49
3
0
18 Jan 2023
The Typical Behavior of Bandit Algorithms
The Typical Behavior of Bandit Algorithms
Lin Fan
Peter Glynn
47
3
0
11 Oct 2022
Some performance considerations when using multi-armed bandit algorithms
  in the presence of missing data
Some performance considerations when using multi-armed bandit algorithms in the presence of missing data
Xijin Chen
K. M. Lee
S. Villar
D. Robertson
94
1
0
08 May 2022
The Fragility of Optimized Bandit Algorithms
The Fragility of Optimized Bandit Algorithms
Lin Fan
Peter Glynn
77
13
0
28 Sep 2021
Online Multi-Armed Bandits with Adaptive Inference
Online Multi-Armed Bandits with Adaptive Inference
Maria Dimakopoulou
Zhimei Ren
Zhengyuan Zhou
83
36
0
25 Feb 2021
1