Jonathan M. Taylor

Summary - TerpreT: A Probabilistic Programming Language for Program Induction

2016 · arXiv (Cornell University)

We study machine learning formulations of inductive program synthesis; that is, given input-output examples, synthesize source code that maps inputs to corresponding outputs. Our key contribution is TerpreT, a domain-specific language for expressing program synthesis …