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Information Directed Sampling for Linear Partial Monitoring

Information Directed Sampling for Linear Partial Monitoring

25 February 2020
Johannes Kirschner
Tor Lattimore
Andreas Krause
ArXivPDFHTML

Papers citing "Information Directed Sampling for Linear Partial Monitoring"

8 / 8 papers shown
Title
Robustifying and Boosting Training-Free Neural Architecture Search
Robustifying and Boosting Training-Free Neural Architecture Search
Zhenfeng He
Yao Shu
Zhongxiang Dai
K. H. Low
43
1
0
12 Mar 2024
Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraints
Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraints
Jiabin Lin
Shana Moothedath
45
1
0
21 Jan 2024
Near-Optimal Multi-Agent Learning for Safe Coverage Control
Near-Optimal Multi-Agent Learning for Safe Coverage Control
Manish Prajapat
M. Turchetta
M. Zeilinger
Andreas Krause
35
14
0
12 Oct 2022
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
33
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
29
7
0
06 Jan 2022
Apple Tasting Revisited: Bayesian Approaches to Partially Monitored
  Online Binary Classification
Apple Tasting Revisited: Bayesian Approaches to Partially Monitored Online Binary Classification
James A. Grant
David S. Leslie
44
3
0
29 Sep 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
Stochastic Linear Bandits with Protected Subspace
Stochastic Linear Bandits with Protected Subspace
Advait Parulekar
Soumya Basu
Aditya Gopalan
Karthikeyan Shanmugam
Sanjay Shakkottai
76
2
0
02 Nov 2020
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