56 citations · 122 across the 22 of their papers we have counts for
3 papers · 1 filter
Yaps: Python Frontend to Stan
Guillaume Baudart, Martin Hirzel, Kiran Kate +2
Stan is a popular probabilistic programming language with a self-contained syntax and semantics that is close to graphical models. Unfortunately, existing embeddings of Stan in Pyt…
Compiling Stan to Generative Probabilistic Languages and Extension to Deep Probabilistic Programming
Guillaume Baudart, Javier Burroni, Martin Hirzel +2
Stan is a probabilistic programming language that is popular in the statistics community, with a high-level syntax for expressing probabilistic models. Stan differs by nature from…
Ariadne: Analysis for Machine Learning Program
Julian Dolby, Avraham Shinnar, Allison Allain +1
Machine learning has transformed domains like vision and translation, and is now increasingly used in science, where the correctness of such code is vital. Python is popular for ma…