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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"

7 / 7 papers shown
Title
Modular Jump Gaussian Processes
Modular Jump Gaussian Processes
Anna R. Flowers
Christopher T. Franck
M. Binois
Chiwoo Park
R. Gramacy
GP
22
0
0
21 May 2025
Multitask methods for predicting molecular properties from heterogeneous
  data
Multitask methods for predicting molecular properties from heterogeneous data
Katharine Fisher
Michael Herbst
Youssef Marzouk
28
6
0
31 Jan 2024
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
30
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
37
25
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
32
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
36
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
129
392
0
02 Mar 2013
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