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The Dresden Memorial Lectures – Gaussian Mixtures and their Tensors in Data Science
Start Date: 11/29/2017Start Time: 4:15 PM
End Date: 11/29/2017End Time: 5:30 PM
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Event Description:

The Department of Mathematics and Statistics of Swarthmore College invites all to The Dresden Memorial Lectures. Bernd Sturmfels (MPI Leipzig and UC Berkeley): “Geometry of Tensors”

November 28th, 2017 Lecture 1: “Applications of Tensors and their Eigenvectors" Eigenvectors of square matrices are central to linear algebra. Eigenvectors of tensors are a natural generalization, with many emerging applications. This lecture offers a first introduction, with numerous pictures.

November 29th, 2017 Lecture 2: “Gaussian Mixtures and their Tensors in Data Science" Mixtures of Gaussians are ubiquitous in data science. We discuss the geometry of these statistical models, with focus on tensors of moments. The rank of symmetric tensors arises when all covariance matrices are zero. We present work with Amendola and Ranestad that characterizes Gaussian mixtures that are identifiable from their moments.

Time: 4:15 Refreshments Lecture: 4:30-5:30pm Location: SC 199
Location Information:
*Swarthmore College  (View Map)
500 College Avenue
Swarthmore, PA 19081

*Swarthmore College - Science Center

*Swarthmore College - Science Center
Room: Science Center 199 - Cunniff Hall
Contact Information:
Name: Math/Stat Department
Phone: 328-8246
Email: msdpt@swarthmore.edu
Bernd Sturmfels
Open To
The Public

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