Ryan Prescott Adams
homepage:http://www.cs.toronto.edu/~rpa/
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Description

I am a CIFAR Junior Research Fellow at the University of Toronto. My research focuses on machine learning and computational statistics, but I am broadly interested in questions related to artificial intelligence, computational neuroscience, machine vision, and Bayesian nonparametrics.

Being a Junior Fellow is like being a very flexible postdoc. I split my time between the Department of Computer Science, where I work with Geoffrey Hinton and Richard Zemel, and the Department of Engineering, where I work with Brendan Frey. I did my PhD at Cambridge University with David MacKay, where I was a member of St. John's College and a Gates Cambridge Scholar. You can view my CV here.


Lectures:

lecture
flag Tree-Structured Stick Breaking for Hierarchical Data
as author at  Oral Sessions,
444 views
  lecture
flag Archipelago: Nonparametric Bayesian Semi-Supervised Learning
as author at  Sessions,
251 views
lecture
flag Tractable Nonparametric Bayesian Inference in Poisson Processes with Gaussian Process Intensities
as author at  Sessions,
779 views
  lecture
flag Nonparametric Bayesian Density Modeling with Gaussian Processes
as author at  Workshops,
700 views