Class meeting for 10-605 LDA

This is one of the class meetings on the schedule for the course Machine Learning with Large Datasets 10-605 in Fall_2016.

Slides

• TBD

Readings

• Distributed Algorithms for Topic Models, Newman et al, JMLR 2009.
• Efficient Methods for Topic Model Inference on Streaming Document Collections, Yao, Mimno, McCallum KDD 2009.

Things to remember

• How Gibbs sampling is used to sample from a model.
• The "generative story" associated with key models like LDA, naive Bayes, and stochastic block models.
• What a "mixed membership" generative model is.
• The time complexity and storage requirements of Gibbs sampling for LDAs.
• How LDA learning can be sped up using IPM approaches.