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Locally induced Gaussian processes for large-scale simulation
  experiments

Locally induced Gaussian processes for large-scale simulation experiments

28 August 2020
D. Cole
R. Christianson
R. Gramacy
ArXivPDFHTML

Papers citing "Locally induced Gaussian processes for large-scale simulation experiments"

5 / 5 papers shown
Title
A Global-Local Approximation Framework for Large-Scale Gaussian Process
  Modeling
A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling
Akhil Vakayil
Roshan Joseph
18
2
0
17 May 2023
Inducing Point Allocation for Sparse Gaussian Processes in
  High-Throughput Bayesian Optimisation
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation
Henry B. Moss
Sebastian W. Ober
Victor Picheny
25
24
0
24 Jan 2023
Fast Gaussian Process Posterior Mean Prediction via Local Cross
  Validation and Precomputation
Fast Gaussian Process Posterior Mean Prediction via Local Cross Validation and Precomputation
Alec M. Dunton
Benjamin W. Priest
Amanda Muyskens
GP
19
3
0
22 May 2022
Mercer kernels and integrated variance experimental design: connections
  between Gaussian process regression and polynomial approximation
Mercer kernels and integrated variance experimental design: connections between Gaussian process regression and polynomial approximation
Alex A. Gorodetsky
Youssef M. Marzouk
34
38
0
27 Feb 2015
Local Gaussian process approximation for large computer experiments
Local Gaussian process approximation for large computer experiments
R. Gramacy
D. Apley
119
391
0
02 Mar 2013
1