15:30 PM
15:50 PM
Room: 102 Probabilistic Programming and Bayesian Inference from Python

Authors: Zinkov, Rob

Track: Machine Learning


[22:59] is a wrapper around Microsoft Research's Infer.NET inference engine. allows you to represent complex graphical models in terms of short pieces of code. In this talk, I will show how many popular machine learning algorithms can be modeled as short probabilistic programs and then simply trained. I will then show how to introspect on the models which were learned and debug these programs when they don't produce desired results.