Title: Probabilistic Programming and models of Cognition
Date: Thursday, March 22nd, 12-1pm,

Wozniak Lounge (430 Soda Hall)

Abstract:
Noah will be talking about probabilistic programming systems, including Pyro, a recent system he has been building at Uber. Pyro is a universal probabilistic programming language (PPL) written in Python and supported by PyTorch on the backend. Pyro enables flexible and expressive deep probabilistic modeling, unifying the best of modern deep learning and Bayesian modeling.

Bio: Noah is an Associate Professor of Psychology and Computer Science, and Linguistics (by courtesy), at Stanford University. His research interests lie in computational models of cognition, probabilistic programming languages, natural language semantics and pragmatics, and social cognition.