Slides are here. Are a bit preliminary! This is gradually being reworked for MLSS 2015 in Sydney, February.
I’ve added a section on the generalised Indian Buffet Process theory from Lancelot James, my own “simplified” version for computer scientists.
Professor at Vin University in Hanoi, Director of Computer Science Programs. Recently Professor in Machine Learning at Dept. Data Science and AI, Monash University in Melbourne. I used to maintain software on GitHub, but work on applying Bayesian methods to machine learning and deep learning with lots of great research students and colleagues.
[…] the general theory written up, including a thorough posterior analysis. In my recent tutorial (given at Aalto) I’ve included a simplified version of this with the key marginal posterior for a few well […]
This was lovely to rread