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Data-Free Likelihood-Informed Dimension Reduction of Bayesian Inverse Problems

Data-Free Likelihood-Informed Dimension Reduction of Bayesian Inverse Problems

Tiangang Cui
O. Zahm
ArXiv (abs)PDFHTML

Papers citing "Data-Free Likelihood-Informed Dimension Reduction of Bayesian Inverse Problems"

6 / 6 papers shown
Title
Dimension reduction via score ratio matching
Dimension reduction via score ratio matching
Ricardo Baptista
Michael C. Brennan
Youssef Marzouk
47
1
0
25 Oct 2024
Coupled Input-Output Dimension Reduction: Application to Goal-oriented Bayesian Experimental Design and Global Sensitivity Analysis
Coupled Input-Output Dimension Reduction: Application to Goal-oriented Bayesian Experimental Design and Global Sensitivity Analysis
Qiao Chen
Elise Arnaud
Ricardo Baptista
O. Zahm
109
1
0
19 Jun 2024
Evaluating the accuracy of Gaussian approximations in VSWIR imaging spectroscopy retrievals
Evaluating the accuracy of Gaussian approximations in VSWIR imaging spectroscopy retrievals
Kelvin M. Leung
D. Thompson
J. Susiluoto
Jayanth Jagalur
A. Braverman
Youssef Marzouk
40
0
0
22 Aug 2023
Certified Dimension Reduction for Bayesian Updating with the Cross-Entropy Method
Certified Dimension Reduction for Bayesian Updating with the Cross-Entropy Method
Max Ehre
Rafael Flock
M. Fußeder
I. Papaioannou
D. Štraub
37
3
0
07 Jun 2022
hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty
hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty
Ki-tae Kim
Umberto Villa
M. Parno
Youssef Marzouk
Omar Ghattas
N. Petra
82
19
0
01 Dec 2021
A unified performance analysis of likelihood-informed subspace methods
A unified performance analysis of likelihood-informed subspace methods
Tiangang Cui
X. Tong
64
26
0
07 Jan 2021