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A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with
  Feedback Graphs

A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs

1 June 2022
Chloé Rouyer
Dirk van der Hoeven
Nicolò Cesa-Bianchi
Yevgeny Seldin
ArXivPDFHTML

Papers citing "A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs"

13 / 13 papers shown
Title
Pure Exploration with Feedback Graphs
Alessio Russo
Yichen Song
Aldo Pacchiano
48
0
0
10 Mar 2025
A Near-optimal, Scalable and Corruption-tolerant Framework for Stochastic Bandits: From Single-Agent to Multi-Agent and Beyond
A Near-optimal, Scalable and Corruption-tolerant Framework for Stochastic Bandits: From Single-Agent to Multi-Agent and Beyond
Zicheng Hu
Cheng Chen
72
0
0
11 Feb 2025
A Simple and Adaptive Learning Rate for FTRL in Online Learning with
  Minimax Regret of $Θ(T^{2/3})$ and its Application to
  Best-of-Both-Worlds
A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of Θ(T2/3)Θ(T^{2/3})Θ(T2/3) and its Application to Best-of-Both-Worlds
Taira Tsuchiya
Shinji Ito
26
0
0
30 May 2024
Exploration by Optimization with Hybrid Regularizers: Logarithmic Regret
  with Adversarial Robustness in Partial Monitoring
Exploration by Optimization with Hybrid Regularizers: Logarithmic Regret with Adversarial Robustness in Partial Monitoring
Taira Tsuchiya
Shinji Ito
Junya Honda
21
1
0
13 Feb 2024
Best-of-Both-Worlds Algorithms for Linear Contextual Bandits
Best-of-Both-Worlds Algorithms for Linear Contextual Bandits
Yuko Kuroki
Alberto Rumi
Taira Tsuchiya
Fabio Vitale
Nicolò Cesa-Bianchi
39
5
0
24 Dec 2023
Stochastic Graph Bandit Learning with Side-Observations
Stochastic Graph Bandit Learning with Side-Observations
Xueping Gong
Jiheng Zhang
34
1
0
29 Aug 2023
On Interpolating Experts and Multi-Armed Bandits
On Interpolating Experts and Multi-Armed Bandits
Houshuang Chen
Yuchen He
Chihao Zhang
26
4
0
14 Jul 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
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
Fang-yuan Kong
Canzhe Zhao
Shuai Li
37
11
0
13 Mar 2023
A Blackbox Approach to Best of Both Worlds in Bandits and Beyond
A Blackbox Approach to Best of Both Worlds in Bandits and Beyond
Christoph Dann
Chen-Yu Wei
Julian Zimmert
26
22
0
20 Feb 2023
Learning on the Edge: Online Learning with Stochastic Feedback Graphs
Learning on the Edge: Online Learning with Stochastic Feedback Graphs
Emmanuel Esposito
Federico Fusco
Dirk van der Hoeven
Nicolò Cesa-Bianchi
24
14
0
09 Oct 2022
Best-of-Both-Worlds Algorithms for Partial Monitoring
Best-of-Both-Worlds Algorithms for Partial Monitoring
Taira Tsuchiya
Shinji Ito
Junya Honda
13
16
0
29 Jul 2022
Nearly Optimal Best-of-Both-Worlds Algorithms for Online Learning with
  Feedback Graphs
Nearly Optimal Best-of-Both-Worlds Algorithms for Online Learning with Feedback Graphs
Shinji Ito
Taira Tsuchiya
Junya Honda
35
24
0
02 Jun 2022
1