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Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability

M Falkiewicz, N Takeishi, I Shekhzadeh… - arXiv preprint arXiv …, 2023 - arxiv.org
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… Predominantly, the likelihood function is only implicitly established by a simulator posing the need for simulation-based inference (SBI). However, the existing algorithms …

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@misc{falkiewicz2023calibrating,
title={Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability},
author={Maciej Falkiewicz and Naoya Takeishi and Imahn Shekhzadeh and Antoine Wehenkel and Arnaud Delaunoy and Gilles Louppe and Alexandros Kalousis},
year={2023},
eprint={2310.13402},
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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