This repository contains the Jupyter Notebook for the talk Variational Bayes: A Gentle Introduction
The notebook on variational inference with PyMC3 is based on this blogpost
The slides for the talk can be found here
-
Notifications
You must be signed in to change notification settings - Fork 0
Variational inference is a technique for estimating Bayesian models that provides similar precision to MCMC at a greater speed, and is one of the main areas of current research in Bayesian computation. In this introductory talk, we take a look at the theory behind the variational approach and some of the most common methods (e.g. mean field, sto…
flaviomorelli/vi_gentle_introduction
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Variational inference is a technique for estimating Bayesian models that provides similar precision to MCMC at a greater speed, and is one of the main areas of current research in Bayesian computation. In this introductory talk, we take a look at the theory behind the variational approach and some of the most common methods (e.g. mean field, sto…
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published