Ryan Prescott Adams
homepage: | http://www.cs.toronto.edu/~rpa/ |
search externally: | Google Scholar, Springer, CiteSeer, Microsoft Academic Search, Scirus , DBlife |
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 Nonparametric Bayesian Density Modeling with Gaussian Processes as author at Workshops, 6440 views |
lecture Tractable Nonparametric Bayesian Inference in Poisson Processes with Gaussian Process Intensities as author at Sessions, 5905 views |
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lecture Tree-Structured Stick Breaking for Hierarchical Data as author at Oral Sessions, 5048 views |
lecture Archipelago: Nonparametric Bayesian Semi-Supervised Learning as author at Sessions, 4737 views |
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