Lecture 14: Approximating Probability Distributions (IV): Variational Methods
Channel: Jakob Foerster
Date: 2014-04-26

Lecture 14 of the Course on Information Theory, Pattern Recognition, and Neural Networks.
Produced by: David MacKay (University of Cambridge) 
Author: David MacKay, University of Cambridge 

A series of sixteen lectures covering the core of the book "Information Theory, Inference, and Learning Algorithms" (Cambridge University Press, 2003, http://www.inference.eng.cam.ac.uk/mackay/itila/) which can be bought at Amazon (http://www.amazon.co.uk/exec/obidos/ASIN/0521642981/davidmackay0f-21), and is available free online (http://www.inference.eng.cam.ac.uk/mackay/itila/). 

A subset of these lectures used to constitute a Part III Physics course at the University of Cambridge. The high-resolution videos and all other course material can be downloaded from the Cambridge course website (http://www.inference.eng.cam.ac.uk/mackay/itprnn/).

Snapshots of the lecture can be found here:
http://www.inference.eng.cam.ac.uk/itprnn_lectures/

These lectures are also available at
http://videolectures.net/course_information_theory_pattern_recognition/
(synchronized with snapshots and slides)