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Adaptive Design of Experiments for Conservative Estimation of Excursion
  Sets

Adaptive Design of Experiments for Conservative Estimation of Excursion Sets

22 November 2016
Dario Azzimonti
D. Ginsbourger
C. Chevalier
Julien Bect
Y. Richet
ArXivPDFHTML

Papers citing "Adaptive Design of Experiments for Conservative Estimation of Excursion Sets"

8 / 8 papers shown
Title
Computing conservative probabilities of rare events with surrogates
Computing conservative probabilities of rare events with surrogates
Nicolas Bousquet
25
0
0
26 Mar 2024
A Gaussian process based approach for validation of multi-variable
  measurement systems: application to SAR measurement systems
A Gaussian process based approach for validation of multi-variable measurement systems: application to SAR measurement systems
C. Bujard
Esra Neufeld
Mark Douglas
Joe Wiart
Niels Kuster
19
2
0
23 Nov 2022
Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation
Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation
Benjamin Letham
Phillip Guan
Chase Tymms
E. Bakshy
Michael Shvartsman
35
10
0
18 Mar 2022
Triangulation candidates for Bayesian optimization
Triangulation candidates for Bayesian optimization
R. Gramacy
Anna Sauer
Nathan Wycoff
21
13
0
14 Dec 2021
Nearly Optimal Algorithms for Level Set Estimation
Nearly Optimal Algorithms for Level Set Estimation
Blake Mason
Romain Camilleri
Subhojyoti Mukherjee
Kevin G. Jamieson
Robert D. Nowak
Lalit P. Jain
30
22
0
02 Nov 2021
Uncertainty Quantification and Experimental Design for Large-Scale
  Linear Inverse Problems under Gaussian Process Priors
Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors
Cédric Travelletti
D. Ginsbourger
N. Linde
30
3
0
08 Sep 2021
Adaptive Batching for Gaussian Process Surrogates with Application in
  Noisy Level Set Estimation
Adaptive Batching for Gaussian Process Surrogates with Application in Noisy Level Set Estimation
Xiong Lyu
M. Ludkovski
30
4
0
19 Mar 2020
A supermartingale approach to Gaussian process based sequential design
  of experiments
A supermartingale approach to Gaussian process based sequential design of experiments
Julien Bect
F. Bachoc
D. Ginsbourger
26
77
0
03 Aug 2016
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