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On Thompson Sampling for Smoother-than-Lipschitz Bandits
v1v2 (latest)

On Thompson Sampling for Smoother-than-Lipschitz Bandits

8 January 2020
James A. Grant
David S. Leslie
ArXiv (abs)PDFHTML

Papers citing "On Thompson Sampling for Smoother-than-Lipschitz Bandits"

8 / 8 papers shown
Title
Introduction to Multi-Armed Bandits
Introduction to Multi-Armed Bandits
Aleksandrs Slivkins
673
1,024
0
15 Apr 2019
Thompson Sampling for Combinatorial Semi-Bandits
Thompson Sampling for Combinatorial Semi-Bandits
Siwei Wang
Wei Chen
64
130
0
13 Mar 2018
Variational inference for the multi-armed contextual bandit
Variational inference for the multi-armed contextual bandit
Iñigo Urteaga
C. Wiggins
80
29
0
10 Sep 2017
Ensemble Sampling
Ensemble Sampling
Xiuyuan Lu
Benjamin Van Roy
152
121
0
20 May 2017
Bandits and Experts in Metric Spaces
Bandits and Experts in Metric Spaces
Robert D. Kleinberg
Aleksandrs Slivkins
E. Upfal
183
125
0
04 Dec 2013
Thompson Sampling: An Asymptotically Optimal Finite Time Analysis
Thompson Sampling: An Asymptotically Optimal Finite Time Analysis
E. Kaufmann
N. Korda
Rémi Munos
187
588
0
18 May 2012
Lipschitz Bandits without the Lipschitz Constant
Lipschitz Bandits without the Lipschitz Constant
Sébastien Bubeck
Gilles Stoltz
Jia Yuan Yu
168
89
0
25 May 2011
Gaussian Process Optimization in the Bandit Setting: No Regret and
  Experimental Design
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Niranjan Srinivas
Andreas Krause
Sham Kakade
Matthias Seeger
186
1,626
0
21 Dec 2009
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