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Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation

R Gao, M Deistler, JH Macke - arXiv preprint arXiv:2305.15208, 2023 - arxiv.org
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… Contrary to ‘standard’ simulation-based inference (SBI), our method does not target the Bayesian posterior, but replaces the likelihood function with a cost function. For real…

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BibTeX

@misc{gao2023generalized,
title={Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation},
author={Richard Gao and Michael Deistler and Jakob H. Macke},
year={2023},
eprint={2305.15208},
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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