Variational Inference By Automatic Differentiation In Tensorflow Probability

Summary

We find a surrogate posterior by maximizing the Evidence Lower Bound (ELBO). With a proposal distribution, this can be solved ... Speaker: Sayam Kumar Title: Demystifying Probabilistic AI School 2026 Materials: github.com/probabilisticai/probai-2026 Hosted by: - Lithuanian Artificial Intelligence ... This is a single lecture from a course. If you you the material and want more context (e.g., the lectures that came before), check ... This short tutorial covers the basics of This is Lecture 23 of the course on Probabilistic Machine Learning in the Summer Term of 2025 at the University of Tübingen, ... Filmed at PyData London 2017 Description Recent improvements in Probabilistic Programming have led to a new method called ... In real-world applications, the posterior over the latent variables Z given some data D is usually intractable. But we can use a ... PyData DC 2016 Jupyter notebook: nbviewer.jupyter.org/gist/AustinRochford/91cabfd2e1eecf9049774ce529ba4c16 ... Inference of probabilistic models using In this video you will learn everything about