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Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel
  Search and Subsampling

Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling

22 May 2024
Shifan Zhao
Jiaying Lu
Carl Yang
Edmond Chow
Yuanzhe Xi
ArXivPDFHTML

Papers citing "Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling"

2 / 2 papers shown
Title
Estimation of the Scale Parameter for a Misspecified Gaussian Process
  Model
Estimation of the Scale Parameter for a Misspecified Gaussian Process Model
Toni Karvonen
17
4
0
06 Oct 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
245
9,042
0
06 Jun 2015
1