From Optimization To Probabilistic Programming

Summary

In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course. This video is a continuation of the previous video, Episode [08x10]. In this video, get a high-level overview of the theory, concepts ... [Marco] Hi, yes, so I'll be presenting some joint work with Vikash on Gen, a Alex Lew's thesis defense Title: Automatic Integration and Differentiation of "Big Data problems are all over the place at Facebook. We've historically used discriminative methods such as neural networks ... Recorded at the ML in PL 2019 Conference, the University of Warsaw, 22-24 November 2019. Martin Jankowiak (Uber AI Labs) ... Spotlight video for 30th Conference on Advances in Neural Information Processing Systems (2016). Paper is available here ... This talk shows how to make smarter, safer AI that understands the world we do, using a new symbolic medium that I helped ... Keynote Title: From Probabilistic Circuits to Visit julialang.org/ to download Julia. Time Stamps: 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! Vikash Mansinghka, MIT simons.berkeley.edu/talks/vikash-mansinghka-10-06-2016 Uncertainty in Computation.