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Some Semantic Issues in Probabilistic Programming Languages (Invited Talk)

Author Hongseok Yang

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Hongseok Yang
  • School of Computing, KAIST, South Korea

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Hongseok Yang. Some Semantic Issues in Probabilistic Programming Languages (Invited Talk). In 4th International Conference on Formal Structures for Computation and Deduction (FSCD 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 131, pp. 4:1-4:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019) https://doi.org/10.4230/LIPIcs.FSCD.2019.4

Abstract

This is a slightly extended abstract of my talk at FSCD'19 about probabilistic programming and a few semantic issues on it. The main purpose of this abstract is to provide keywords and references on the work mentioned in my talk, and help interested audience to do follow-up study.

Subject Classification

ACM Subject Classification
  • Theory of computation → Probabilistic computation
  • Theory of computation → Program semantics
  • Theory of computation → Denotational semantics
  • Mathematics of computing → Bayesian nonparametric models
  • Mathematics of computing → Bayesian computation
Keywords
  • Probabilistic Programming
  • Denotational Semantics
  • Non-differentiable Models
  • Bayesian Nonparametrics
  • Exchangeability

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References

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