Gaussian processes with built-in dimensionality reduction: Applications to high-dimensional uncertainty propagation

Published 2016 View Full Article

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Title
Gaussian processes with built-in dimensionality reduction: Applications to high-dimensional uncertainty propagation
Authors
Keywords
Active subspace, Uncertainty quantification, Gaussian process regression, Dimensionality reduction, Stiefel manifold, Granular crystals
Journal
JOURNAL OF COMPUTATIONAL PHYSICS
Volume 321, Issue -, Pages 191-223
Publisher
Elsevier BV
Online
2016-05-28
DOI
10.1016/j.jcp.2016.05.039

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