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Amortized Bayesian Decision Making for simulation-based models

M Gorecki, JH Macke, M Deistler - arXiv preprint arXiv:2312.02674, 2023 - arxiv.org
Computer Science paper cs.LG Suggest

… Simulation-based inference (SBI) provides a powerful framework for inferring posterior distributions of stochastic simulators in a wide range of domains. In many settings, …

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BibTeX

@misc{gorecki2023amortized,
title={Amortized Bayesian Decision Making for simulation-based models},
author={Mila Gorecki and Jakob H. Macke and Michael Deistler},
year={2023},
eprint={2312.02674},
archivePrefix={arXiv},
primaryClass={id='cs.LG' full_name='Machine Learning' is_active=True alt_name=None in_archive='cs' is_general=False description='Papers on all aspects of machine learning research (supervised, unsupervised, reinforcement learning, bandit problems, and so on) including also robustness, explanation, fairness, and methodology. cs.LG is also an appropriate primary category for applications of machine learning methods.'}
}

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