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Small Sample Spaces for Gaussian Processes
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Small Sample Spaces for Gaussian Processes

Toni Karvonen
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Papers citing "Small Sample Spaces for Gaussian Processes"

6 / 6 papers shown
Title
Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions
Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions
Toni Karvonen
George Wynne
Filip Tronarp
Chris J. Oates
Simo Särkkä
75
39
0
29 Jan 2020
Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences
Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences
Motonobu Kanagawa
Philipp Hennig
Dino Sejdinovic
Bharath K. Sriperumbudur
GPBDL
151
344
0
06 Jul 2018
Bayesian Probabilistic Numerical Methods
Bayesian Probabilistic Numerical Methods
Jon Cockayne
Chris J. Oates
T. Sullivan
Mark Girolami
82
166
0
13 Feb 2017
Bayesian Learning of Kernel Embeddings
Bayesian Learning of Kernel Embeddings
Seth Flaxman
Dino Sejdinovic
John P. Cunningham
Sarah Filippi
BDL
68
44
0
07 Mar 2016
On the Inclusion Relation of Reproducing Kernel Hilbert Spaces
On the Inclusion Relation of Reproducing Kernel Hilbert Spaces
Haizhang Zhang
Liang Zhao
60
17
0
21 Jun 2011
Convergence rates of efficient global optimization algorithms
Convergence rates of efficient global optimization algorithms
Adam D. Bull
148
641
0
18 Jan 2011

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