EFFICIENT SAMPLING BUDGET ALLOCATION FOR ONLINE DECISION MAKING

by LIU HAITAO
Published 2022

Remarks on multi-output Gaussian process regression

by Liu, Haitao, Cai, Jianfei, Ong, Yew-Soon
Published 2020

A survey of adaptive sampling for global metamodeling in support of simulation-based complex engineering design

by Liu, Haitao, Ong, Yew-Soon, Cai, Jianfei
Published 2020

Large-scale heteroscedastic regression via Gaussian process

by Liu, Haitao, Ong, Yew-Soon, Cai, Jianfei
Published 2022

Understanding and comparing scalable Gaussian process regression for big data

by Liu, Haitao, Cai, Jianfei, Ong, Yew-Soon, Wang, Yi
Published 2020

Cope with diverse data structures in multi-fidelity modeling : a Gaussian process method

by Liu, Haitao, Ong, Yew-Soon, Cai, Jianfei, Wang, Yi
Published 2020

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

by Liu, Haitao, Ong, Yew-Soon, Shen, Xiaobo, Cai, Jianfei
Published 2021

Modulating scalable Gaussian processes for expressive statistical learning

by Liu, Haitao, Ong, Yew-Soon, Jiang, Xiaomo, Wang, Xiaofang
Published 2022

Fast transfer Gaussian process regression with large-scale sources

by Da, Bingshui, Ong, Yew-Soon, Gupta, Abhishek, Feng, Liang, Liu, Haitao
Published 2020

An adaptive RBF-HDMR modeling approach under limited computational budget

by Liu, Haitao, Hervas, Jaime-Rubio, Ong, Yew-Soon, Cai, Jianfei, Wang, Yi
Published 2020