Recitation Schedule

Recitations: Thursdays 5-6pm, NSH 1305

Date	Topic
17th Jan (Gunhee, Seunghak)	Probability Overview (Seunghak) handout BN representation / independencies (Gunhee) handout
24th Jan (Seunghak)	Conversion between a Markov network and a Bayesian network handout
31th Jan (Gunhee)	Variable elimination and belief propagation on factor graphs handout
7th Feb (Kriti)	Bayes net: structure and parameter learning whiteboard photos
14th Feb (Kriti)	Markov random fields: structure and parameter learning whiteboard photos
21st Feb (Gunhee)	Graph Inference and Kalman Filter handout
28th Feb (Gunhee)	Belief Propagation and Bethe Approximation handout
7th Mar (Seunghak)	Mean field approximation handout
21st Mar (Ankur)	Linear algebra review handout
4th Apr (Kriti)	EM for variational inference whiteboard photos
11st Apr (Gunhee)	Dirichlet distribution handout
18th Apr (Seunghak)	Structured sparsity handout
25th Apr (Seunghak)	Techniques for fast optimization of sparse regression handout

 

© 2009 Eric Xing @ School of Computer Science, Carnegie Mellon University
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