When Gaussian process meets big data : a review of scalable GPs

The vast quantity of information brought by big data as well as the evolving computer hardware encourages success stories in the machine learning community. In the meanwhile, it poses challenges for the Gaussian process regression (GPR), a well-known nonparametric, and interpretable Bayesian model,...

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Bibliographic Details
Main Authors: Liu, Haitao, Ong, Yew-Soon, Shen, Xiaobo, Cai, Jianfei
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/148176
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Institution: Nanyang Technological University
Language: English