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SUMMARY:Approximating Probability Distributions (I)-(II): Monte Carlo Meth
 ods and Variational Inference - David MacKay (Cavendish Laboratory)
DTSTART:20120611T133000Z
DTEND:20120611T160000Z
UID:TALK38459@talks.cam.ac.uk
CONTACT:Emli-Mari Nel
DESCRIPTION:Lectures 11 & 12 of a lecture series on Information Theory\, P
 attern Recognition and Neural Networks. The lectures will focus on approxi
 mating probability distributions (to be continued):\n \n* Monte Carlo Meth
 ods (I):  Importance sampling\, rejection sampling\, Gibbs sampling\, Metr
 opolis method.\n \n* Monte Carlo Methods (II):  Slice sampling\, Hybrid Mo
 nte Carlo\, Over-relaxation\, Exact Sampling.\n\n* Variational Methods \n\
 nSchedule: \n\nTwo 40-60 minute lectures will be given\, with a 15 minute 
 break in between. All are welcome\, and encouraged to ask many questions.\
 n\nPrevious lectures can be downloaded: http://www.inference.phy.cam.ac.uk
 /itprnn_lectures/
LOCATION:Pippard Lecture Theatre\, Cavendish Laboratory
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