Machine Learning Variational Inference

Summary

In real-world applications, the posterior over the latent variables Z given some data D is usually intractable. But we can use a ... Inference of probabilistic models using In this video you will learn everything about For more information about Stanford's In this video I will try to give the basic intuition of what VI is. The first and only online David Blei, Rajesh Ranganath, Shakir Mohamed. One of the core problems of modern statistics and Get a 20% discount to my favorite book summary service at shortform.com/artem ===== My name is Artem, I'm a ... Details *** Sorry, this event has been postponed one week to June 6, 2023 *** Topic: We will finish our discussion of VI attempts to find an optimal surrogate posterior by maximizing the Evidence Lower Bound (=ELBO). The surrogate posterior acts ... pydata.org When Bayesian modeling scales up to large datasets, traditional MCMC methods can become impractical due to ... Recorded at PyData Berlin 2025, 2025.pycon.de/program/BCGJQB/ Learn how to scale Bayesian models to 50000 time ...