Media Summary: In real-world applications, the posterior over the latent variables Z given some data D is usually intractable. But we can use a ... In this video I will try to give the basic intuition of what VI is. The first and only online We find a surrogate posterior by maximizing the Evidence Lower Bound (ELBO). With a proposal distribution, this can be solved ...
Machine Learning Variational Inference - Detailed Analysis & Overview
In real-world applications, the posterior over the latent variables Z given some data D is usually intractable. But we can use a ... In this video I will try to give the basic intuition of what VI is. The first and only online We find a surrogate posterior by maximizing the Evidence Lower Bound (ELBO). With a proposal distribution, this can be solved ... Get a 20% discount to my favorite book summary service at ===== My name is Artem, I'm a ... Recorded at PyData Berlin 2025, Learn how to scale Bayesian models to 50000 time ... This is the twentyfourth lecture in the Probabilistic ML class of Prof. Dr. Philipp Hennig in the Summer Term 2023 at the University ...
In this video you will learn everything about This is the twentyfourth lecture in the Probabilistic ML class of Prof. Dr. Philipp Hennig, updated for the Summer Term 2021 at the ... This is Lecture 23 of the course on Probabilistic Details *** Sorry, this event has been postponed one week to June 6, 2023 *** Topic: We will finish our discussion of www.pydata.org When Bayesian modeling scales up to large datasets, traditional MCMC methods can become impractical due to ... This is a single lecture from a course. If you you like the material and want more context (e.g., the lectures that came before), check ...
