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This paper presents a new approach for Gaussian process (GP) regression for large datasets.
A linear time implementation of the reverse cuthill-mckee algorithm
W. M. Chan and Alan George · 1980
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Volker Tresp · 2000
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Compactly supported correlation functions
Tilmann Gneiting · 2002
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Infinite mixtures of Gaussian process experts
C. E. Rasmussen and Z. Ghahramani · 2002
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Fast forward selection to speed up sparse Gaussian process regression
Matthias Seeger, Christopher K. I. Williams, and Neil D. Lawrence · 2003
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Covariance tapering for interpolation of large spatial datasets
Reinhard Furrer, Marc G Genton, and Douglas Nychka · 2006
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Gaussian Processes for Machine Learning
C.E. Rasmussen and C.K.I. Williams · 2006
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Fast gaussian process regression using kd-trees
Yirong Shen, Andrew Ng, and Matthias Seeger · 2006
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Sparse Gaussian processes using pseudo-inputs
Edward Snelson and Zoubin Ghahramani · 2006
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Local and global sparse Gaussian process approximations
Edward Snelson and Zoubin Ghahramani · 2007
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Bayesian treed Gaussian process models with an application to computer modeling
Robert B Gramacy and Herbert KH Lee · 2008
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Covariance tapering for likelihood-based estimation in large spatial data sets
Cari G Kaufman, Mark J Schervish, and Douglas W Nychka · 2008
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Brian McFee and Gert RG Lanckriet · 2011
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Domain decomposition approach for fast Gaussian process regression of large spatial datasets
Chiwoo Park, Jianhua Z. Huang, and Yu Ding · 2011
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Matrix computations , volume 3
Gene H Golub and Charles F Van Loan · 2012
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Parallel gaussian process regression with low-rank covariance matrix approximations
Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang, Colin Keng-Yan Tan, and Patrick Jaillet · 2013
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Gaussian processes for big data , pages 282–290
James Hensman, Nicolò Fusi, and Neil D. Lawrence · 2013
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Local Gaussian process approximation for large computer experiments
Robert B Gramacy and Daniel W Apley · 2014
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Duy Nguyen-Tuong, Jan R Peters, and Matthias Seeger · 2009
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Michalis K Titsias · 2009
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Block-gp: Scalable gaussian process regression for multimodal data
Kamalika Das and Ashok N Srivastava · 2010
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An explicit link between gaussian fields and gaussian markov random fields: the stochastic partial differential equation approach
Finn Lindgren, Håvard Rue, and Johan Lindström · 2011
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Distributed Gaussian processes
Marc Peter Deisenroth and Jun Wei Ng · 2015
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Fast direct methods for gaussian processes
Sivaram Ambikasaran, Daniel Foreman-Mackey, Leslie Greengard, David W Hogg, and Michael O’Neil · 2016
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Efficient computation of gaussian process regression for large spatial data sets by patching local gaussian processes
Chiwoo Park and Jianhua Z. Huang · 2016
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