UCL ELLIS

Speaker	Iain Murray
Affiliation	Edinburgh University
Date	Friday, 20 March 2015
Time	13:00-14:00
Location	Zoom
Link	Roberts G06 (Sir Ambrose Fleming lecture theatre)
Event series	Jump Trading/ELLIS CSML Seminar Series
Abstract	We bring the empirical success of deep neural network models in regression and classification to high-dimensional density estimation. Using the product rule, density estimation in D-dimensions can be reduced to D regression tasks. We tie these tasks together to improve computational and statistical efficiency, obtaining state-of-the-art fits across a wide range of benchmark tasks. I'll give an example Bayesian data analysis application from cosmology. Speaker website Work with Benigno Uria and Hugo Larochelle.
Biography