Tuesday, March 28, 2017 at 3:30 PM in SAS 4201
Bernd Sturmfels, UC Berkeley
Gaussian Mixtures and their Tensors
Mixtures of Gaussians are ubiquitous in data science. We give an introduction to the geometry of these statistical models, with focus on the tensors that represent their higher moments. The familiar theory of rank and borderrank for symmetric tensors is recovered when all covariance matrices are zero. Recent work with Carlos Amendola and Kristian Ranestad characterizes the circumstances under which Gaussian mixtures are identifiable from their moments.
Tuesday, April 11, 2017 at 3:30 PM in SAS 4201
Wen-shin Lee, University of Antwerp
Tuesday, April 18, 2017 at 3:30 PM in SAS 4201
Rainer Sinn, Georgia Tech
Tuesday, April 25, 2017 at 3:30 PM in SAS 4201
Michael Burr, Clemson
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Seminar Organizer: C. Vinzant