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20172026
most citedA Generalized Approximate Control Variate Framework for Multifidelity Uncertainty Quantification

116 citations · 352 across the 16 of their papers we have counts for

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5 papers · 1 filter

stat.CO2026

Multifidelity Formulations for Triangular Transport

Owen Davis, Daniel Sharp, Youssef Marzouk +1

We develop multifidelity methods for constructing triangular transport maps from samples, when high-fidelity data are scarce but lower-fidelity data are more abundant. Using this s…

stat.CO2025

Fast Bayesian Multilevel Quasi-Monte Carlo

Aleksei G. Sorokin, Pieterjan Robbe, Gianluca Geraci +2

Existing multilevel quasi-Monte Carlo (MLQMC) methods often rely on multiple independent randomizations of a low-discrepancy (LD) sequence to estimate statistical errors on each le…

stat.CO2025

Automated Model Tuning for Multifidelity Uncertainty Propagation in Trajectory Simulation

James E. Warner, Geoffrey F. Bomarito, Gianluca Geraci +1

Multifidelity uncertainty propagation combines the efficiency of low-fidelity models with the accuracy of a high-fidelity model to construct statistical estimators of quantities of…

stat.CO2023

Multilevel Monte Carlo estimators for derivative-free optimization under uncertainty

Friedrich Menhorn, Gianluca Geraci, D. Thomas Seidl +3

Optimization is a key tool for scientific and engineering applications, however, in the presence of models affected by uncertainty, the optimization formulation needs to be extende…

stat.CO2018★ 116 cited

A Generalized Approximate Control Variate Framework for Multifidelity Uncertainty Quantification

Alex A. Gorodetsky, Gianluca Geraci, Mike Eldred +1

We describe and analyze a variance reduction approach for Monte Carlo (MC) sampling that accelerates the estimation of statistics of computationally expensive simulation models usi…