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Improved High-Probability Regret for Adversarial Bandits with
  Time-Varying Feedback Graphs

Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs

4 October 2022
Haipeng Luo
Hanghang Tong
Mengxiao Zhang
Yuheng Zhang
ArXivPDFHTML

Papers citing "Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs"

4 / 4 papers shown
Title
Efficient Contextual Bandits with Uninformed Feedback Graphs
Efficient Contextual Bandits with Uninformed Feedback Graphs
Mengxiao Zhang
Yuheng Zhang
Haipeng Luo
Paul Mineiro
21
4
0
12 Feb 2024
Robustly Improving Bandit Algorithms with Confounded and Selection
  Biased Offline Data: A Causal Approach
Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach
Wen Huang
Xintao Wu
OffRL
CML
28
0
0
20 Dec 2023
On the Minimax Regret for Online Learning with Feedback Graphs
On the Minimax Regret for Online Learning with Feedback Graphs
Khaled Eldowa
Emmanuel Esposito
Tommaso Cesari
Nicolò Cesa-Bianchi
33
8
0
24 May 2023
Practical Contextual Bandits with Feedback Graphs
Practical Contextual Bandits with Feedback Graphs
Mengxiao Zhang
Yuheng Zhang
Olga Vrousgou
Haipeng Luo
Paul Mineiro
20
7
0
17 Feb 2023
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