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Stability-penalty-adaptive follow-the-regularized-leader: Sparsity,
  game-dependency, and best-of-both-worlds

Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds

26 May 2023
Taira Tsuchiya
Shinji Ito
Junya Honda
ArXivPDFHTML

Papers citing "Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds"

3 / 3 papers shown
Title
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
LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual
  Bandits
LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits
Masahiro Kato
Shinji Ito
36
0
0
05 Mar 2024
Best-of-Both-Worlds Linear Contextual Bandits
Best-of-Both-Worlds Linear Contextual Bandits
Masahiro Kato
Shinji Ito
53
0
0
27 Dec 2023
1