Jake Hofman from Yahoo! Research will give an introduction to Bayesian inference, including a discussion of the Bayesian interpretation of probability. After a review of the underlying theory, he'll discuss the practical aspects of Bayesian inference for real-world problems. Jake will conclude with an example of his own research in applying variational Bayesian methods to the problem of community detection in networks. The following are a few relevant references for the talk. First, a reading list for Bayesian methods from Tom Griffiths at UC Berkeley: http://cocosci.berkeley.edu/tom/bayes.html In particular, this tutorial may be of interest: http://cocosci.berkel... David MacKay's book (free pdf online) on information theory has several relevant chapters, including Chapter 2 for a review of probability theory and Bayesian inference, and Section IV for an in-depth discussion of subtopics: http://www.inference.... Finally, the following are links to software and papers for the work Jake will discuss on Bayesian inference for community detection in networks: http://vbmod.sourcefo... http://www.cis.hut.fi... http://jakehofman.com... Please note that we've changed locations again. Gilt Groupe is still our awesome host, but this time in their new office.
Claim the event and start manage its content.I am the organizer