Gradient-based adaptive importance samplers-Reference-Cited by-同舟云学术

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Gradient-based adaptive importance samplers

Published:2023-09 Issue:13 Volume:360 Page:9490-9514
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Elvira Víctor^ORCID,Chouzenoux Émilie^ORCID,Akyildiz Ömer Deniz,Martino Luca

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Networks and Communications,Signal Processing,Control and Systems Engineering

Reference80 articles.

1. Monte Carlo Statistical Methods;Robert,2004

2. Monte Carlo Strategies in Scientific Computing;Liu,2004

3. A. Owen, 2013. Monte Carlo Theory, Methods and Examples http://statweb.stanford.edu/õwen/mc/.

4. Advances in Importance Sampling;Elvira,2021

5. Generalized multiple importance sampling;Elvira;Stat. Sci.,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Population Monte Carlo With Normalizing Flow;IEEE Signal Processing Letters;2024

2. Global convergence of optimized adaptive importance samplers;Foundations of Data Science;2024

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