Papers

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 …

Cited by Link to paper

BibTeX

@misc{glaser2023maximumlikelihoodlearningunnormalized,
      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},
      url={https//arxiv.org/abs/2210.14756}, 
}

Share