10-601 Topic Models

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This a lecture used in the Syllabus for Machine Learning 10-601B in Spring 2016

Poll: https://piazza.com/class/ij382zqa2572hc



  • Murphy ch 27.3 (don't read 27.3.6) and 27.4.
  • LDA is not covered in Mitchell. There's a nice overview paper on LDA by David Blei.


You should know:

  • what Gibbs sampling is, and how it can be used for inference in a directed graphical model.
  • what graphical models are associated with supervised naive Bayes, unsupervised naive Bayes, and LDA.