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Sparse Spectrum Gaussian Process for Bayesian Optimization
v1v2 (latest)

Sparse Spectrum Gaussian Process for Bayesian Optimization

21 June 2019
Ang Yang
Cheng Li
Santu Rana
Sunil R. Gupta
Svetha Venkatesh
ArXiv (abs)PDFHTML

Papers citing "Sparse Spectrum Gaussian Process for Bayesian Optimization"

4 / 4 papers shown
Title
Inducing Point Allocation for Sparse Gaussian Processes in
  High-Throughput Bayesian Optimisation
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation
Henry B. Moss
Sebastian W. Ober
Victor Picheny
96
26
0
24 Jan 2023
Machine Learning for Combinatorial Optimisation of Partially-Specified
  Problems: Regret Minimisation as a Unifying Lens
Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens
Stefano Teso
Laurens Bliek
Andrea Borghesi
M. Lombardi
Neil Yorke-Smith
Tias Guns
Andrea Passerini
45
2
0
20 May 2022
Scalable Bayesian Optimization with Sparse Gaussian Process Models
Scalable Bayesian Optimization with Sparse Gaussian Process Models
Ang Yang
50
0
0
26 Oct 2020
Scalable Thompson Sampling using Sparse Gaussian Process Models
Scalable Thompson Sampling using Sparse Gaussian Process Models
Sattar Vakili
Henry B. Moss
A. Artemev
Vincent Dutordoir
Victor Picheny
71
36
0
09 Jun 2020
1