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NOTICE: All university events have been canceled through Friday, May 1, in order to prevent COVID-19 from appearing and spreading in campus communities throughout the state.
For more information, visit: www.usu.edu/COVID-19.

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September 29 - October 5, 2019

Thursday, October 3

Math Colloquium Series

Conference/Seminar

NONPARAMETRIC ENSEMBLE ESTIMATION OF DISTRIBUTIONAL FUNCTIONALS IN MACHINE LEARNING

Abstract: Distributional functionals are integrals of functionals of probability densities and include functionals such as information divergence, mutual information, and entropy. Distributional functionals have many applications in the fields of information theory, statistics, signal processing, and machine learning.
Many existing non-parametric distributional functional estimators have either unknown convergence rates or
are difficult to implement. In this talk, I present multiple applications of distributional functional estimation, focusing on the problems of dimensionality reduction, extending machine learning tasks to distributional features, and estimating the optimal probability of error (the Bayes error) of a classification problem. I then briefly present a simple, computationally tractable, nonparametric ensemble estimator of a wide class of distributional
functionals that achieves parametric convergence rates under certain smoothness conditions. The asymp

10/03 at 3:30 pm | Animal Science | More Info


Friday, October 4

Applied Mathematics Seminar: Some Topics in Optimal Control

Conference/Seminar

Abstract: This talk will introduce the subject of optimal control (where optimization and control meet). We’ll discuss several applications, current research problems, and some of Matt’s recent contributions to the field.

Short Bio: Matt is from Texas. He completed his Bachelor’s in Mechanical Engineering from Texas A&M, his Master’s in Aerospace Engineering from Texas A&M, and his PhD in Aerospace Engineering from UT Austin. Along the way, he took a discrete math class where he fell in love with the joy of writing a proof. The mathematical journey culminated with an advanced course in Functional Analysis, in which he struggled immensely, but was amazed by the beauty. After working for a private research company for 5 years, Matt is now as Assistant Professor in Mechanical & Aerospace Engineering working in the areas of optimization and control.

10/04 at 3:30 pm | Animal Science | More Info




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