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Sub-sampling for Efficient Non-Parametric Bandit Exploration

Sub-sampling for Efficient Non-Parametric Bandit Exploration

27 October 2020
Dorian Baudry
E. Kaufmann
Odalric-Ambrym Maillard
ArXiv (abs)PDFHTML

Papers citing "Sub-sampling for Efficient Non-Parametric Bandit Exploration"

8 / 8 papers shown
Title
Batch Ensemble for Variance Dependent Regret in Stochastic Bandits
Batch Ensemble for Variance Dependent Regret in Stochastic Bandits
Asaf B. Cassel
Orin Levy
Yishay Mansour
OffRL
60
2
0
13 Sep 2024
Approximate information maximization for bandit games
Approximate information maximization for bandit games
A. Barbier–Chebbah
Christian L. Vestergaard
Jean-Baptiste Masson
Etienne Boursier
47
0
0
19 Oct 2023
A General Recipe for the Analysis of Randomized Multi-Armed Bandit
  Algorithms
A General Recipe for the Analysis of Randomized Multi-Armed Bandit Algorithms
Dorian Baudry
Kazuya Suzuki
Junya Honda
60
5
0
10 Mar 2023
Efficient Algorithms for Extreme Bandits
Efficient Algorithms for Extreme Bandits
Dorian Baudry
Yoan Russac
E. Kaufmann
51
3
0
21 Mar 2022
Bregman Deviations of Generic Exponential Families
Bregman Deviations of Generic Exponential Families
Sayak Ray Chowdhury
Patrick Saux
Odalric-Ambrym Maillard
Aditya Gopalan
71
12
0
18 Jan 2022
From Optimality to Robustness: Dirichlet Sampling Strategies in
  Stochastic Bandits
From Optimality to Robustness: Dirichlet Sampling Strategies in Stochastic Bandits
Dorian Baudry
Patrick Saux
Odalric-Ambrym Maillard
65
7
0
18 Nov 2021
On Limited-Memory Subsampling Strategies for Bandits
On Limited-Memory Subsampling Strategies for Bandits
Dorian Baudry
Yoan Russac
Olivier Cappé
114
8
0
21 Jun 2021
Stochastic Bandits with Vector Losses: Minimizing $\ell^\infty$-Norm of
  Relative Losses
Stochastic Bandits with Vector Losses: Minimizing ℓ∞\ell^\inftyℓ∞-Norm of Relative Losses
Xuedong Shang
Han Shao
Jian Qian
56
0
0
15 Oct 2020
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