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Transformers Can Do Bayesian Inference

S Müller, N Hollmann, SP Arango, J Grabocka… - arXiv preprint arXiv …, 2021 - arxiv.org
Computer Science paper cs.LG Suggest

… Previous work in simulation-based inference is focused on simulations for which a specific … Our method is in so far similar to simulation-based inference as both solely use samples from …

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BibTeX

@misc{müller2023transformers,
title={Transformers Can Do Bayesian Inference},
author={Samuel Müller and Noah Hollmann and Sebastian Pineda Arango and Josif Grabocka and Frank Hutter},
year={2023},
eprint={2112.10510},
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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