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Efficient Bayesian experimentation using an expected information gain lower bound
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Efficient Bayesian experimentation using an expected information gain lower bound

Panagiotis Tsilifis
R. Ghanem
P. Hajali
ArXiv (abs)PDFHTML

Papers citing "Efficient Bayesian experimentation using an expected information gain lower bound"

6 / 6 papers shown
Title
Neural Message Passing for Objective-Based Uncertainty Quantification and Optimal Experimental Design
Neural Message Passing for Objective-Based Uncertainty Quantification and Optimal Experimental Design
Qihua Chen
Xuejin Chen
Hyun-Myung Woo
Byung-Jun Yoon
88
3
0
14 Mar 2022
Reinforcement Learning based Sequential Batch-sampling for Bayesian Optimal Experimental Design
Reinforcement Learning based Sequential Batch-sampling for Bayesian Optimal Experimental Design
Yonatan Ashenafi
Piyush Pandita
Sayan Ghosh
OffRL
122
6
0
21 Dec 2021
Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning
Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning
Wanggang Shen
Xun Huan
110
44
0
28 Oct 2021
Optimal Bayesian experimental design for subsurface flow problems
Optimal Bayesian experimental design for subsurface flow problems
Alexander Tarakanov
A. Elsheikh
73
10
0
10 Aug 2020
Bayesian Optimal Design of Experiments For Inferring The Statistical Expectation Of A Black-Box Function
Bayesian Optimal Design of Experiments For Inferring The Statistical Expectation Of A Black-Box Function
Piyush Pandita
Ilias Bilionis
Jitesh H. Panchal
86
1
0
26 Jul 2018
Compressive sensing adaptation for polynomial chaos expansions
Compressive sensing adaptation for polynomial chaos expansions
Panagiotis Tsilifis
Xun Huan
Cosmin Safta
K. Sargsyan
G. Lacaze
J. Oefelein
H. Najm
R. Ghanem
114
61
0
06 Jan 2018