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First-Order Bayesian Regret Analysis of Thompson Sampling

First-Order Bayesian Regret Analysis of Thompson Sampling

2 February 2019
Sébastien Bubeck
Mark Sellke
ArXivPDFHTML

Papers citing "First-Order Bayesian Regret Analysis of Thompson Sampling"

7 / 7 papers shown
Title
Incentivizing Exploration with Linear Contexts and Combinatorial Actions
Incentivizing Exploration with Linear Contexts and Combinatorial Actions
Mark Sellke
32
3
0
03 Jun 2023
Lifting the Information Ratio: An Information-Theoretic Analysis of
  Thompson Sampling for Contextual Bandits
Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits
Gergely Neu
Julia Olkhovskaya
Matteo Papini
Ludovic Schwartz
35
16
0
27 May 2022
Gaussian Imagination in Bandit Learning
Gaussian Imagination in Bandit Learning
Yueyang Liu
Adithya M. Devraj
Benjamin Van Roy
Kuang Xu
40
7
0
06 Jan 2022
The Value of Information When Deciding What to Learn
The Value of Information When Deciding What to Learn
Dilip Arumugam
Benjamin Van Roy
37
12
0
26 Oct 2021
Efficient First-Order Contextual Bandits: Prediction, Allocation, and
  Triangular Discrimination
Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination
Dylan J. Foster
A. Krishnamurthy
48
43
0
05 Jul 2021
Information Directed Sampling for Sparse Linear Bandits
Information Directed Sampling for Sparse Linear Bandits
Botao Hao
Tor Lattimore
Wei Deng
25
19
0
29 May 2021
Reinforcement Learning, Bit by Bit
Reinforcement Learning, Bit by Bit
Xiuyuan Lu
Benjamin Van Roy
Vikranth Dwaracherla
M. Ibrahimi
Ian Osband
Zheng Wen
30
70
0
06 Mar 2021
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