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New Machine Learning Techniques for Simulation-Based Inference InferoStatic Nets, Kernel Score Estimation, and Kernel Likelihood Ratio Estimation

K Kong, KT Matchev, S Mrenna… - arXiv preprint arXiv …, 2022 - arxiv.org
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We propose an intuitive, machine-learning approach to multiparameter inference, dubbed the InferoStatic Networks (ISN) method, to model the score and likelihood ratio …

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BibTeX

@misc{kong2023new,
title={New Machine Learning Techniques for Simulation-Based Inference InferoStatic Nets, Kernel Score Estimation, and Kernel Likelihood Ratio Estimation},
author={Kyoungchul Kong and Konstantin T. Matchev and Stephen Mrenna and Prasanth Shyamsundar},
year={2023},
eprint={2210.01680},
archivePrefix={arXiv},
primaryClass={id='stat.ML' full_name='Machine Learning' is_active=True alt_name=None in_archive='stat' is_general=False description='Covers machine learning papers (supervised, unsupervised, semi-supervised learning, graphical models, reinforcement learning, bandits, high dimensional inference, etc.) with a statistical or theoretical grounding'}
}

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