Probabilistic programming (IJCAI tutorial)

Probabilistic programming is an emerging subfield of artificial intelligence that extends traditional programming languages and constructs with primitives to support probabilistic inference and learning. Probabilistic programming is closely related to statistical relational learning but is different in that it focuses on a programming language perspective rather than on a graphical model one. This tutorial will provide a gentle introduction to the newly emerging area of probabilistic programming, focusing on the underlying concepts and primitives on which these languages are based. We shall also discuss how logical and probabilistic inference can be combined and how they are used for learning, and sketch some example applications.status: publishe