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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

13 February 2024
Taira Tsuchiya
Shinji Ito
Junya Honda
ArXiv (abs)PDFHTMLGithub

Papers citing "Exploration by Optimization with Hybrid Regularizers: Logarithmic Regret with Adversarial Robustness in Partial Monitoring"

3 / 3 papers shown
Instance-Dependent Regret Bounds for Nonstochastic Linear Partial Monitoring
Instance-Dependent Regret Bounds for Nonstochastic Linear Partial Monitoring
Federico Di Gennaro
Khaled Eldowa
Nicolò Cesa-Bianchi
154
1
0
22 Oct 2025
Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems
Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems
Jongyeong Lee
Junya Honda
Shinji Ito
Min-hwan Oh
225
2
0
26 Aug 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
472
4
0
30 May 2024
1
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