Contribute Media
A thank you to everyone who has made this possible: Read More

Variational Inference in Python

Description

PyData DC 2016

Jupyter notebook: https://nbviewer.jupyter.org/gist/AustinRochford/91cabfd2e1eecf9049774ce529ba4c16

Inference in Bayesian models often requires simulation to approximate posterior distributions. Variational inference (VI) instead approximates posteriors through optimization. Recent theoretical and computational advances in automatic variational inference have made VI more accessible. This talk will give an introduction to VI and show software packages for performing VI in Python.

Improve this page