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Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation

A Delaunoy, J Hermans, F Rozet, A Wehenkel… - arXiv preprint arXiv …, 2022 - arxiv.org
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… This work is concerned with simulation-based inference algorithms that produce posterior approximations p(ϑ x) under the following semantics. Target parameters ϑ …
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BibTeX

@misc{delaunoy2022reliable,
title={Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation},
author={Arnaud Delaunoy and Joeri Hermans and François Rozet and Antoine Wehenkel and Gilles Louppe},
year={2022},
eprint={2208.13624},
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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