Probabilistic programming

General

• Church
  • Goodman & Tenenbaum, 2016: Probabilistic Models of Cognition (online )
  • Forest : repository of generative models
• WebPPL [JavaScript]
  • Goodman & Stuhlmüller, 2014: Design and Implementation of Probabilistic Programming Languages (online )
  • Inspired by Church
• ProbLog [Python]
  • Probabilistic extension of Prolog
  • De Raedt & Kimmig, 2015: Probabilistic (logic) programming concepts (doi)
• BLOG (Bayesian Logic)
  • First probabilistic language with open-world assumption (unknown number of individuals)
  • Getoor & Taskar (ed.), 2007: Introduction to SRL, Ch. 13: “BLOG: Probabilistic models with unknown objects”

Bayesian inference for statistics

• BUGS
• Stan
  • Created by Andrew Gelman, Bob Carpenter, et al (history of Stan )
  • Carpenter et al, 2017: Stan: A probabilistic programming language (doi, pdf)
• Infer.NET [C#]
  • Winn & Bishop, 2018: Model-based Machine Learning (online )
  • Open sourced by Microsoft (GitHub )

See also literature on statistical relational learning.

• van de Meent, Paige, Yang, Wood, 2018: An Introduction to Probabilistic Programming (arxiv)