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The Gaussian Process Autoregressive Regression Model (GPAR)

The Gaussian Process Autoregressive Regression Model (GPAR)

20 February 2018
James Requeima
Will Tebbutt
W. Bruinsma
Richard Turner
ArXivPDFHTML

Papers citing "The Gaussian Process Autoregressive Regression Model (GPAR)"

5 / 5 papers shown
Title
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes
Ba-Hien Tran
Babak Shahbaba
Stephan Mandt
Maurizio Filippone
SyDa
BDL
UQCV
28
5
0
09 Feb 2023
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains
Haitao Liu
Kai Wu
Yew-Soon Ong
Chao Bian
Xiaomo Jiang
Xiaofang Wang
24
7
0
25 Feb 2022
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
34
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 Turner
29
33
0
20 Oct 2020
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
88
292
0
02 Oct 2012
1