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A Low-rank Control Variate for Multilevel Monte Carlo Simulation of
  High-dimensional Uncertain Systems

A Low-rank Control Variate for Multilevel Monte Carlo Simulation of High-dimensional Uncertain Systems

1 November 2016
Hillary R. Fairbanks
Alireza Doostan
C. Ketelsen
G. Iaccarino
ArXiv (abs)PDFHTML

Papers citing "A Low-rank Control Variate for Multilevel Monte Carlo Simulation of High-dimensional Uncertain Systems"

8 / 8 papers shown
Title
Structure and asymptotic preserving deep neural surrogates for uncertainty quantification in multiscale kinetic equations
Structure and asymptotic preserving deep neural surrogates for uncertainty quantification in multiscale kinetic equations
Wei Chen
Giacomo Dimarco
Lorenzo Pareschi
109
0
0
12 Jun 2025
Bi-fidelity Variational Auto-encoder for Uncertainty Quantification
Bi-fidelity Variational Auto-encoder for Uncertainty Quantification
Nuojin Cheng
Osman Asif Malik
Subhayan De
Stephen Becker
Alireza Doostan
68
9
0
25 May 2023
Multilevel Monte Carlo estimators for derivative-free optimization under
  uncertainty
Multilevel Monte Carlo estimators for derivative-free optimization under uncertainty
F. Menhorn
Gianluca Geraci
D. Seidl
Youssef M. Marzouk
M. Eldred
H. Bungartz
50
1
0
04 May 2023
GenMod: A generative modeling approach for spectral representation of
  PDEs with random inputs
GenMod: A generative modeling approach for spectral representation of PDEs with random inputs
Jacqueline Wentz
Alireza Doostan
60
1
0
31 Jan 2022
Bi-fidelity Reduced Polynomial Chaos Expansion for Uncertainty
  Quantification
Bi-fidelity Reduced Polynomial Chaos Expansion for Uncertainty Quantification
F. Newberry
Jerrad Hampton
K. Jansen
Alireza Doostan
27
5
0
15 Apr 2021
Modern Monte Carlo Methods for Efficient Uncertainty Quantification and
  Propagation: A Survey
Modern Monte Carlo Methods for Efficient Uncertainty Quantification and Propagation: A Survey
Jiaxin Zhang
70
114
0
02 Nov 2020
When Bifidelity Meets CoKriging: An Efficient Physics-Informed
  Multifidelity Method
When Bifidelity Meets CoKriging: An Efficient Physics-Informed Multifidelity Method
Xiu Yang
Xueyu Zhu
Jing Li
69
15
0
07 Dec 2018
A Generalized Approximate Control Variate Framework for Multifidelity
  Uncertainty Quantification
A Generalized Approximate Control Variate Framework for Multifidelity Uncertainty Quantification
Alex A. Gorodetsky
Gianluca Geraci
M. Eldred
J. Jakeman
74
90
0
12 Nov 2018
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