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Joint Optimization and Variable Selection of High-dimensional Gaussian
  Processes

Joint Optimization and Variable Selection of High-dimensional Gaussian Processes

27 June 2012
Bo Chen
R. Castro
Andreas Krause
    GP
ArXivPDFHTML

Papers citing "Joint Optimization and Variable Selection of High-dimensional Gaussian Processes"

6 / 6 papers shown
Title
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems
Yunyue Wei
Zeji Yi
Hongda Li
Saraswati Soedarmadji
Yanan Sui
71
0
0
31 Dec 2024
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization
Dawei Zhan
66
5
0
18 Apr 2024
Bandit Theory meets Compressed Sensing for high dimensional Stochastic
  Linear Bandit
Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit
Alexandra Carpentier
Rémi Munos
80
102
0
18 May 2012
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with
  Application to Active User Modeling and Hierarchical Reinforcement Learning
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
E. Brochu
Vlad M. Cora
Nando de Freitas
GP
138
2,448
0
12 Dec 2010
Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation
Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation
Jarvis Haupt
R. Castro
Robert D. Nowak
130
154
0
29 Jan 2010
Rodeo: Sparse, greedy nonparametric regression
Rodeo: Sparse, greedy nonparametric regression
John D. Lafferty
Larry A. Wasserman
187
137
0
12 Mar 2008
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