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Select Lab ML Department

Secondary affiliation I am also afflilated with the MPI for Biological Cybernetics as a research scientist.
MPI homepage

Recent work • Kernel choice and classifiability for RKHS embeddings of probability distributions, NIPS 2009, oral
• A Fast, Consistent Kernel Two-Sample Test , NIPS 2009, spotlight
• Nonlinear directed acyclic structure learning with weakly additive noise models , NIPS 2009
• Temporal Kernel CCA and its Application in Multimodal Neuronal Data Analysis , Machine Learning, 2009

info

I am a project scientist with the Machine Learning Department at Carnegie Mellon University, where I'm working with Carlos Guestrin on probabilistic inference for large-scale problems.

My current research focus is on using kernel methods to reveal properties and relations in data. These methods include tests for strength of dependence, for example in measuring how strongly two bodies of text in different languages are related; testing for similarities in two datasets, which can be used in attribute matching for databases (that is, automatically finding which fields of two databases correspond); and testing for conditional dependence, which is useful in detecting redundant variables that carry no additional predictive information, given the variables already observed.

I will be joining the faculty of the Gatsby Computational Neuroscience Unit in August 2010.

Contact details

Arthur Gretton
arthur.gretton@gmail.com
Machine Learning Department
Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh, PA 15213

Office
Gates 8004
412-268 3953