Learning spatial patterns with variational Gaussian processes: Regression

• Published in: Computers & geosciences Vol. 161; p. 105056
• Main Authors: Gonçalves, Ítalo Gomes, Guadagnin, Felipe, Cordova, Diogo Peixoto
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.04.2022
• Subjects: Gaussian process; Kriging; Machine learning; Variational inference; Gaussian process; Variational inference; Kriging; Machine learning

A variational Gaussian process (VGP) model specialized in spatial data is introduced, capitalizing on recent advances in the machine learning field. The model is modular and customizable, being capable of handling different assumptions about the data. This work focusses on multivariate robust regres...