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The Gaussian Process Density Sampler Ryan Prescott Adams
 

Summary: The Gaussian Process Density Sampler
Ryan Prescott Adams
Cavendish Laboratory
University of Cambridge
Cambridge CB3 0HE, UK
rpa23@cam.ac.uk
Iain Murray
Dept. of Computer Science
University of Toronto
Toronto, Ontario. M5S 3G4
murray@cs.toronto.edu
David J.C. MacKay
Cavendish Laboratory
University of Cambridge
Cambridge CB3 0HE, UK
mackay@mrao.cam.ac.uk
Abstract
We present the Gaussian Process Density Sampler (GPDS), an exchangeable gen-
erative model for use in nonparametric Bayesian density estimation. Samples
drawn from the GPDS are consistent with exact, independent samples from a fixed

  

Source: Adams, Ryan Prescott - Department of Electrical and Computer Engineering, University of Toronto
Edinburgh, University of - Division of Informatics, Institute for Adaptive and Neural Computation
Roweis, Sam - Department of Computer Science, University of Toronto

 

Collections: Biology and Medicine; Computer Technologies and Information Sciences