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Evaluating the squared-exponential covariance function in Gaussian
  processes with integral observations

Evaluating the squared-exponential covariance function in Gaussian processes with integral observations

18 December 2018
J. Hendriks
Carl Jidling
A. Wills
Thomas B. Schon
ArXiv (abs)PDFHTML

Papers citing "Evaluating the squared-exponential covariance function in Gaussian processes with integral observations"

4 / 4 papers shown
Title
Uncertainty Quantification and Experimental Design for Large-Scale
  Linear Inverse Problems under Gaussian Process Priors
Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors
Cédric Travelletti
D. Ginsbourger
N. Linde
55
4
0
08 Sep 2021
Hierarchical Inducing Point Gaussian Process for Inter-domain
  Observations
Hierarchical Inducing Point Gaussian Process for Inter-domain Observations
Luhuan Wu
Andrew C. Miller
Lauren Anderson
Geoff Pleiss
David M. Blei
John P. Cunningham
70
9
0
28 Feb 2021
Using Distance Correlation for Efficient Bayesian Optimization
Using Distance Correlation for Efficient Bayesian Optimization
T. Kanazawa
66
3
0
17 Feb 2021
Stochastic quasi-Newton with line-search regularization
Stochastic quasi-Newton with line-search regularization
A. Wills
Thomas B. Schon
ODL
68
21
0
03 Sep 2019
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