Applications of a Disintegration Transformation

Abstract

We describe examples of applying a disintegration transformation on probabilistic programs to obtain posterior distributions, calculate symbolic representations of densities, and generate Markov Chain Monte Carlo (MCMC) samplers.

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Cite

Text

Narayanan and Shan. "Applications of a Disintegration Transformation." NeurIPS 2019 Workshops: Program_Transformations, 2019.

Markdown

[Narayanan and Shan. "Applications of a Disintegration Transformation." NeurIPS 2019 Workshops: Program_Transformations, 2019.](https://mlanthology.org/neuripsw/2019/narayanan2019neuripsw-applications/)

BibTeX

@inproceedings{narayanan2019neuripsw-applications,
  title     = {{Applications of a Disintegration Transformation}},
  author    = {Narayanan, Praveen and Shan, Chung-chieh},
  booktitle = {NeurIPS 2019 Workshops: Program_Transformations},
  year      = {2019},
  url       = {https://mlanthology.org/neuripsw/2019/narayanan2019neuripsw-applications/}
}