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. This talk shows how to make smarter, safer AI that understands the world like we do, using a new symbolic medium that I helped ... We present new techniques for automatically constructing

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. This talk shows how to make smarter, safer AI that understands the world like we do, using a new symbolic medium that I helped ... We present new techniques for automatically constructing Machine learning is sneaking into everything, even into functional programming languages! This will be a high-level talk discussing the separation of statistical models and inference algorithms. Things we'd like to talk ... [Marco] Hi, yes, so I'll be presenting some joint work with Vikash on Gen, a

Visit to download Julia. Time Stamps: 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! A brief talk given to the Royal Astronomical Society specialised meeting on ML and AI in astronomy. Little time so here's the hidden markov model written in a Get a crash course in Bayesian Statistics, Bayes' Theorem, Bayesian Inference, [Chair] Our next talk will be by Daniel Ritchie, "