Scalable Bayesian Inference tutorial

If you are interested in Bayesian Machine Learning and want to know how to do it at scale, then this NeurIPS 2018 tutorial would be of interest to you.

Presented by Duke’s David Dunson, the Scalable Bayesian Inference tutorial is a 2-hour tour of state-of-the-art methods for analyzing large datasets using Bayesian methods. BTW, Dunson is the co-author of the excellent book Bayesian Data Analysis, 3rd edition.

Enjoy the video below.

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