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Regret and Belief Complexity Trade-off in Gaussian Process Bandits via
  Information Thresholding

Regret and Belief Complexity Trade-off in Gaussian Process Bandits via Information Thresholding

23 March 2020
Amrit Singh Bedi
Dheeraj Peddireddy
Vaneet Aggarwal
Brian M. Sadler
Alec Koppel
ArXivPDFHTML

Papers citing "Regret and Belief Complexity Trade-off in Gaussian Process Bandits via Information Thresholding"

7 / 7 papers shown
Title
A Tutorial on Bayesian Optimization
A Tutorial on Bayesian Optimization
P. Frazier
GP
104
1,782
0
08 Jul 2018
Streaming Sparse Gaussian Process Approximations
Streaming Sparse Gaussian Process Approximations
T. Bui
Cuong V Nguyen
Richard Turner
45
102
0
19 May 2017
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
Lisha Li
Kevin Jamieson
Giulia DeSalvo
Afshin Rostamizadeh
Ameet Talwalkar
203
2,321
0
21 Mar 2016
Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian
  Process Hyper-Parameters
Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters
Ziyun Wang
Nando de Freitas
70
89
0
30 Jun 2014
Thompson Sampling for Complex Bandit Problems
Thompson Sampling for Complex Bandit Problems
Aditya Gopalan
Shie Mannor
Yishay Mansour
114
202
0
03 Nov 2013
Practical Bayesian Optimization of Machine Learning Algorithms
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek
Hugo Larochelle
Ryan P. Adams
323
7,923
0
13 Jun 2012
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
144
1,618
0
21 Dec 2009
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