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Adaptive Gaussian process surrogates for Bayesian inference

Adaptive Gaussian process surrogates for Bayesian inference

Timur Takhtaganov
Juliane Müller
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Papers citing "Adaptive Gaussian process surrogates for Bayesian inference"

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Title
Randomized Maximum Likelihood via High-Dimensional Bayesian Optimization
Randomized Maximum Likelihood via High-Dimensional Bayesian Optimization
Valentin Breaz
Richard D. Wilkinson
30
0
0
17 Apr 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