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In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course. This talk shows how to make smarter, safer AI that understands the world like we do, using a new symbolic medium that I helped ... Get a crash course in Bayesian Statistics, Bayes' Theorem, Bayesian Inference, This will be a high-level talk discussing the separation of statistical models and inference algorithms. Things we'd like to talk ... Visit to download Julia. Time Stamps: 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! Spotlight video for 30th Conference on Advances in Neural Information Processing Systems (2016). Paper is available here ...
Recorded at the ML in PL 2019 Conference, the University of Warsaw, 22-24 November 2019. Martin Jankowiak (Uber AI Labs) ... 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 Daniel Roy, University of Toronto Uncertainty in Computation.
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Last Updated: June 18, 2026
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From Optimization to Probabilistic Programming
AI That Understands the World, Using Probabilistic Programming | Vikash Mansinghka | TEDxMIT
Mattia Ferrini - Decision Science with Probabilistic Programming
An intro to Probabilistic Programming with Ubers Pyro
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![[09x02] Essential Concepts for Bayesian Statistics, Probabilistic Programming and Turing.jl](https://i0.wp.com/ytimg.googleusercontent.com/vi/jF4LTXHAFAk/mqdefault.jpg?resize=320,180)
![[08x11] What is Probabilistic Programming?](https://i0.wp.com/ytimg.googleusercontent.com/vi/eafbKLSN_xQ/mqdefault.jpg?resize=320,180)
