Compiling Markov chain Monte Carlo algorithms for probabilistic modeling

Daniel Huang, Jean-Baptiste Tristan, Greg Morrisett. Compiling Markov chain Monte Carlo algorithms for probabilistic modeling. In Albert Cohen 0001, Martin T. Vechev, editors, Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2017, Barcelona, Spain, June 18-23, 2017. pages 111-125, ACM, 2017. [doi]

@inproceedings{HuangTM17,
  title = {Compiling Markov chain Monte Carlo algorithms for probabilistic modeling},
  author = {Daniel Huang and Jean-Baptiste Tristan and Greg Morrisett},
  year = {2017},
  doi = {10.1145/3062341.3062375},
  url = {http://doi.acm.org/10.1145/3062341.3062375},
  researchr = {https://researchr.org/publication/HuangTM17},
  cites = {0},
  citedby = {0},
  pages = {111-125},
  booktitle = {Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2017, Barcelona, Spain, June 18-23, 2017},
  editor = {Albert Cohen 0001 and Martin T. Vechev},
  publisher = {ACM},
  isbn = {978-1-4503-4988-8},
}