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Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains

Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains

25 February 2022
Haitao Liu
Kai Wu
Yew-Soon Ong
Chao Bian
Xiaomo Jiang
Xiaofang Wang
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Papers citing "Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains"

4 / 4 papers shown
Title
Scalable Multi-Task Gaussian Processes with Neural Embedding of
  Coregionalization
Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization
Haitao Liu
Jiaqi Ding
Xinyu Xie
Xiaomo Jiang
Yusong Zhao
Xiaofang Wang
BDL
13
14
0
20 Sep 2021
Sparse Gaussian Process Variational Autoencoders
Sparse Gaussian Process Variational Autoencoders
Matthew Ashman
Jonathan So
Will Tebbutt
Vincent Fortuin
Michael Pearce
Richard E. Turner
16
33
0
20 Oct 2020
Minimax Error of Interpolation and Optimal Design of Experiments for
  Variable Fidelity Data
Minimax Error of Interpolation and Optimal Design of Experiments for Variable Fidelity Data
Alexey Zaytsev
E. Burnaev
25
2
0
21 Oct 2016
Recursive co-kriging model for Design of Computer experiments with
  multiple levels of fidelity with an application to hydrodynamic
Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity with an application to hydrodynamic
Loic Le Gratiet
AI4CE
86
291
0
02 Oct 2012
1