Goal-oriented optimal approximations of Bayesian linear inverse problems

Goal-oriented optimal approximations of Bayesian linear inverse problems

7 July 2016

Alessio Spantini

Karen E. Willcox

Youssef Marzouk

Papers citing "Goal-oriented optimal approximations of Bayesian linear inverse problems"

6 / 6 papers shown

Title
Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures Christian Soize 18 6 0 06 May 2022
Probabilistic learning inference of boundary value problem with uncertainties based on Kullback-Leibler divergence under implicit constraints Christian Soize 35 5 0 10 Feb 2022
BIMC: The Bayesian Inverse Monte Carlo method for goal-oriented uncertainty quantification. Part I Siddhant Wahal George Biros 12 7 0 02 Nov 2019
Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset Christian Soize R. Ghanem 27 18 0 28 Oct 2019
Optimal projection of observations in a Bayesian setting L. Giraldi O. Maître Ibrahim Hoteit Omar Knio 38 8 0 19 Sep 2017
Inference via low-dimensional couplings Alessio Spantini Daniele Bigoni Youssef Marzouk 40 119 0 17 Mar 2017