Entropy-based adaptive design for contour finding and estimating
reliability

Entropy-based adaptive design for contour finding and estimating reliability

24 May 2021

James E. Warner

Geoffrey F. Bomarito

Patrick E. Leser

Papers citing "Entropy-based adaptive design for contour finding and estimating reliability"

15 / 15 papers shown

Title
Evaluating Gaussian Process Metamodels and Sequential Designs for Noisy Level Set Estimation Xiong Lyu M. Binois M. Ludkovski 30 24 0 18 Jul 2018
Survey of multifidelity methods in uncertainty propagation, inference, and optimization Benjamin Peherstorfer Karen E. Willcox M. Gunzburger AI4CE 42 754 0 28 Jun 2018
Contour location via entropy reduction leveraging multiple information sources A. Marques Rémi R. Lam Karen E. Willcox 36 32 0 19 May 2018
Bayesian Optimization with Gradients Jian Wu Matthias Poloczek A. Wilson P. Frazier 56 210 0 13 Mar 2017
Adaptive Design of Experiments for Conservative Estimation of Excursion Sets Dario Azzimonti D. Ginsbourger C. Chevalier Julien Bect Y. Richet 47 44 0 22 Nov 2016
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation Ilija Bogunovic Jonathan Scarlett Andreas Krause Volkan Cevher 78 91 0 24 Oct 2016
Quantifying uncertainties on excursion sets under a Gaussian random field prior Dario Azzimonti Julien Bect C. Chevalier D. Ginsbourger 46 39 0 15 Jan 2015
Local Gaussian process approximation for large computer experiments R. Gramacy D. Apley 254 394 0 02 Mar 2013
Excursion and contour uncertainty regions for latent Gaussian models David Bolin Finn Lindgren 76 128 0 16 Nov 2012
Bounding rare event probabilities in computer experiments Y. Auffray P. Barbillon Jean-Michel Marin 62 12 0 04 May 2011
Metamodel-based importance sampling for the simulation of rare events V. Dubourg Francois Deheeger Bruno Sudret 47 24 0 18 Apr 2011
Sequential design of computer experiments for the estimation of a probability of failure Julien Bect D. Ginsbourger Ling Li Victor Picheny E. Vázquez 97 349 0 27 Sep 2010
On Particle Learning Nicolas Chopin A. Iacobucci Jean-Michel Marin Kerrie Mengersen Christian P. Robert Robin J. Ryder Christian Schafer 109 28 0 03 Jun 2010
Particle learning of Gaussian process models for sequential design and optimization R. Gramacy Nicholas G. Polson 94 124 0 29 Sep 2009
Controlled stratification for quantile estimation C. Cannamela Josselin Garnier Bertrand Iooss 109 87 0 18 Feb 2008