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Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for
  Martingale Mixtures

Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures

25 September 2023
H. Flynn
David Reeb
M. Kandemir
Jan Peters
ArXivPDFHTML

Papers citing "Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures"

4 / 4 papers shown
Title
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
Junghyun Lee
Se-Young Yun
Kwang-Sung Jun
33
4
0
19 Jul 2024
The E-Posterior
The E-Posterior
Peter D. Grünwald
UQCV
34
17
0
03 Jan 2023
PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through
  Supermartingales
PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through Supermartingales
Maxime Haddouche
Benjamin Guedj
51
20
0
03 Oct 2022
Gaussian Process Bandit Optimization with Few Batches
Gaussian Process Bandit Optimization with Few Batches
Zihan Li
Jonathan Scarlett
GP
123
47
0
15 Oct 2021
1