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Evaluating Gaussian Process Metamodels and Sequential Designs for Noisy
  Level Set Estimation
v1v2 (latest)

Evaluating Gaussian Process Metamodels and Sequential Designs for Noisy Level Set Estimation

18 July 2018
Xiong Lyu
M. Binois
M. Ludkovski
ArXiv (abs)PDFHTML

Papers citing "Evaluating Gaussian Process Metamodels and Sequential Designs for Noisy Level Set Estimation"

4 / 4 papers shown
Title
Entropy-based adaptive design for contour finding and estimating
  reliability
Entropy-based adaptive design for contour finding and estimating reliability
D. Cole
R. Gramacy
James E. Warner
Geoffrey F. Bomarito
Patrick E. Leser
W. Leser
81
20
0
24 May 2021
Variational Bayesian Monte Carlo with Noisy Likelihoods
Variational Bayesian Monte Carlo with Noisy Likelihoods
Luigi Acerbi
102
42
0
15 Jun 2020
Parallel Gaussian process surrogate Bayesian inference with noisy
  likelihood evaluations
Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations
Marko Jarvenpaa
Michael U. Gutmann
Aki Vehtari
Pekka Marttinen
118
41
0
03 May 2019
Deep Learning for Ranking Response Surfaces with Applications to Optimal
  Stopping Problems
Deep Learning for Ranking Response Surfaces with Applications to Optimal Stopping Problems
Ruimeng Hu
OOD
60
13
0
11 Jan 2019
1