# variational logistic regression

(2.7 hours to learn)

## Summary

Variational logistic regression is an illustrative example of variational Bayes. It illustrates the use of a local variational approximation, in particular the Gaussian lower bound on the sigmoid function.

## Context

This concept has the prerequisites:

- Bayesian logistic regression (This is an approximate inference algorithm for Bayesian logistic regression.)
- variational Bayes

## Core resources (read/watch one of the following)

## -Paid-

→ Pattern Recognition and Machine Learning

A textbook for a graduate machine learning course, with a focus on Bayesian methods.

Location:
Sections 10.5-10.6, pages 493-505

## See also

-No Additional Notes-