Approximation methods for gaussian process regression

Joaquin Quiñonero-Candela; Carl Edward Rasmussen; Christopher K I Williams

Approximation methods for gaussian process regression

Joaquin Quiñonero-Candela, Carl Edward Rasmussen, Christopher K I Williams

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract / Description of output

A wealth of computationally efficient approximation methods for Gaussian
process regression have been recently proposed. We give a unifying
overview of sparse approximations, following Qui˜nonero-Candela and Rasmussen
(2005), and a brief review of approximate matrix-vector multiplication
methods.

Original language	English
Title of host publication	Large-Scale Kernel Machines
Editors	Léon Bottou, Olivier Chapelle, Dennis DeCoste , Jason Weston
Publisher	MIT Press
Number of pages	24
ISBN (Electronic)	9780262250917
ISBN (Print)	9780262026253
Publication status	Published - Aug 2007

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https://mitpress.mit.edu/books/large-scale-kernel-machines

Cite this

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title = "Approximation methods for gaussian process regression",

abstract = "A wealth of computationally efficient approximation methods for Gaussianprocess regression have been recently proposed. We give a unifyingoverview of sparse approximations, following Qui˜nonero-Candela and Rasmussen(2005), and a brief review of approximate matrix-vector multiplicationmethods.",

author = "Joaquin Qui{\~n}onero-Candela and Rasmussen, {Carl Edward} and Williams, {Christopher K I}",

year = "2007",

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T1 - Approximation methods for gaussian process regression

AU - Quiñonero-Candela, Joaquin

AU - Rasmussen, Carl Edward

AU - Williams, Christopher K I

PY - 2007/8

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AB - A wealth of computationally efficient approximation methods for Gaussianprocess regression have been recently proposed. We give a unifyingoverview of sparse approximations, following Qui˜nonero-Candela and Rasmussen(2005), and a brief review of approximate matrix-vector multiplicationmethods.

M3 - Chapter

SN - 9780262026253

BT - Large-Scale Kernel Machines

A2 - Bottou, Léon

A2 - Chapelle, Olivier

A2 - DeCoste , Dennis

A2 - Weston, Jason

PB - MIT Press

ER -

Approximation methods for gaussian process regression

Abstract / Description of output

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Cite this