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A bandit-learning approach to multifidelity approximation

A bandit-learning approach to multifidelity approximation

29 March 2021
Yiming Xu
Vahid Keshavarzzadeh
Robert M. Kirby
A. Narayan
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Papers citing "A bandit-learning approach to multifidelity approximation"

3 / 3 papers shown
Title
Covariance Expressions for Multi-Fidelity Sampling with Multi-Output,
  Multi-Statistic Estimators: Application to Approximate Control Variates
Covariance Expressions for Multi-Fidelity Sampling with Multi-Output, Multi-Statistic Estimators: Application to Approximate Control Variates
Thomas O. Dixon
James E. Warner
Geoffrey F. Bomarito
Alex A. Gorodetsky
11
6
0
29 Sep 2023
An approximate control variates approach to multifidelity distribution
  estimation
An approximate control variates approach to multifidelity distribution estimation
Ruijian Han
Boris Kramer
Dongjin Lee
A. Narayan
Yiming Xu
18
3
0
11 Mar 2023
Control Variate Polynomial Chaos: Optimal Fusion of Sampling and
  Surrogates for Multifidelity Uncertainty Quantification
Control Variate Polynomial Chaos: Optimal Fusion of Sampling and Surrogates for Multifidelity Uncertainty Quantification
Hang Yang
Y. Fujii
K. W. Wang
Alex A. Gorodetsky
40
6
0
26 Jan 2022
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