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Maximum Likelihood Learning of Unnormalized Models for Simulation-Based Inference

P Glaser, M Arbel, A Doucet, A Gretton - arXiv preprint arXiv:2210.14756, 2022 - arxiv.org
Computer Science paper cs.LG Suggest

We introduce two synthetic likelihood methods for Simulation-Based Inference (SBI), to conduct either amortized or targeted inference from experimental observations …

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BibTeX

@misc{glaser2023maximum,
      title={Maximum Likelihood Learning of Unnormalized Models for Simulation-Based Inference}, 
      author={Pierre Glaser and Michael Arbel and Samo Hromadka and Arnaud Doucet and Arthur Gretton},
      year={2023},
      eprint={2210.14756},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}

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