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Minimax Optimal Algorithms for Adversarial Bandit Problem with Multiple
  Plays

Minimax Optimal Algorithms for Adversarial Bandit Problem with Multiple Plays

25 November 2019
Nuri Mert Vural
Hakan Gokcesu
Kaan Gokcesu
Suleyman S. Kozat
ArXiv (abs)PDFHTML

Papers citing "Minimax Optimal Algorithms for Adversarial Bandit Problem with Multiple Plays"

4 / 4 papers shown
Title
Data Dependent Regret Guarantees Against General Comparators for Full or
  Bandit Feedback
Data Dependent Regret Guarantees Against General Comparators for Full or Bandit Feedback
Kaan Gokcesu
Hakan Gokcesu
OffRL
42
0
0
12 Mar 2023
Natural Hierarchical Cluster Analysis by Nearest Neighbors with
  Near-Linear Time Complexity
Natural Hierarchical Cluster Analysis by Nearest Neighbors with Near-Linear Time Complexity
Kaan Gokcesu
Hakan Gokcesu
25
1
0
15 Mar 2022
Efficient Online-Bandit Strategies for Minimax Learning Problems
Efficient Online-Bandit Strategies for Minimax Learning Problems
Christophe Roux
Elias Wirth
Sebastian Pokutta
Thomas Kerdreux
42
2
0
28 May 2021
Optimal Stochastic Nonconvex Optimization with Bandit Feedback
Optimal Stochastic Nonconvex Optimization with Bandit Feedback
Puning Zhao
Lifeng Lai
139
3
0
30 Mar 2021
1