Difference between revisions of "Class meeting for 10-605 LDA"
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* [http://www.cs.cmu.edu/~wcohen/10-605/topic-models-intro.ppt LDA and Block Models] | * [http://www.cs.cmu.edu/~wcohen/10-605/topic-models-intro.ppt LDA and Block Models] | ||
| − | * [http://www.cs.cmu.edu/~wcohen/10-605/fastlda.pptx Scaling up LDA] | + | * [http://www.cs.cmu.edu/~wcohen/10-605/fastlda.pptx Scaling up LDA - 1/2] |
=== Readings === | === Readings === | ||
Revision as of 14:12, 1 April 2014
This is one of the class meetings on the schedule for the course Machine Learning with Large Datasets 10-605 in Spring_2014.
Slides
Readings
- Distributed Algorithms for Topic Models, Newman et al, JMLR 2009.
- Fast Collapsed Gibbs Sampling for LDA, Porteous et al, ...
- Efficient Methods for Topic Model Inference on Streaming Document Collections, Yao, Mimno, McCallum KDD 2009.
