They recorded my tutorial ran at ALTA late in 2016.

Part 1 and part 2 up on Youtube, about an hour each.

Topical insights into components of prior research and aspects of latent academia

They recorded my tutorial ran at ALTA late in 2016.

Part 1 and part 2 up on Youtube, about an hour each.

A student reminded me of *Gregor Heinrich*‘s excellent introduction to topic modelling, including a great introduction to the underlying foundations like Dirichlet distributions and multinomials. Great reading for all students! See

- G. Heinrich,
*Parameter estimation for text analysis*, Technical report, Fraunhofer IGD, 15 September 2009 at his publication page.

This Sydney 2015 MLSS summer school is organised by Edwin Bonilla and held in Sydney Feb 16-25th. My tutorial is titled “Models for Probability/Discrete Vectors with Bayesian Non-parametric Methods.” My final version of the slides is here in PDF.

Right now, probably the best general purpose methods for what Frank Wood and Yee Whye Teh called the *Graphical Pitman-Yor Process* (see their AI&Stats 2009 paper) are ours using table indicators. I gave a tutorial on the hierarchical Dirichlet Process, and the hierarchical Pitman-Yor Process at Monash last week, and the slides are here. Still developing these, so they will be improved. Haven’t made the extension from hierarchical to graphical yet but its in Lan Du‘s PhD thesis. The examples given in the tutorial are about topic models and n-gram models.