From Optimization To Probabilistic Programming

Media Summary: In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course. So today Hong and I are going to represent the Turing team to give you an introduction on the Touring This talk shows how to make smarter, safer AI that understands the world like we do, using a new symbolic medium that I helped ...

From Optimization To Probabilistic Programming - Detailed Analysis & Overview

In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course. So today Hong and I are going to represent the Turing team to give you an introduction on the Touring This talk shows how to make smarter, safer AI that understands the world like we do, using a new symbolic medium that I helped ... Machine learning is sneaking into everything, even into functional programming languages! We present new techniques for automatically constructing Get a crash course in Bayesian Statistics, Bayes' Theorem, Bayesian Inference,

Visit to download Julia. Time Stamps: 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! Little time so here's the hidden markov model written in a This will be a high-level talk discussing the separation of statistical models and inference algorithms. Things we'd like to talk ... Spotlight video for 30th Conference on Advances in Neural Information Processing Systems (2016). Paper is available here ...