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Mathematics of Machine Learning

Recent advancements of machine learning methods lave led to breakthroughs in a wide range of applications. In spite of their empirical successes, the theoretical understanding of machine learning techniques are far from complete. New tools from mathematics and statistics have been showing their power in explaining the mystery and more will be emerging. The purpose of this reading seminar is threefold: First to discuss recent research works that lie in the interface of machine learning, mathematics, statistics and etc; second to expose new research questions and foster collaborations between different groups and even different departments; and third to create new research opportunities for junior researchers and graduate students. All faculty, VAPs, graduate students are welcome to join.

Date Speaker Title
Fri. 9/15
Wuchen Li
University of South Carolina

Information Gamma calculus: Convexity analysis for stochastic differential equations

Fri. 9/22
Jack Xin
University of California, Irvine

Coarse Gradient Descent Method and Quantization of Deep Neural Networks

Fri. 9/29
Siavash Jafarzadeh
Lehigh University

Reliable data-driven models for engineering design

Fri. 10/13
Abiy Tasissa
Tufts University

TBA

Fri. 10/20
Nan Chen
University of Wisconsin-Madison

TBA

Fri. 10/27
Haizhao Yang
University of Maryland, College Park

Discretization-Invariant Operator Learning: Algorithms and Theory

Fri. 11/3
Thomas Strohmer
University of California, Davis

TBA

Fri. 11/17
Dejan Slepčev
Carnegie Mellon University

TBA

Fri. 12/1
Maarten de Hoop
Rice University

TBA

Fri. 9/22

Coarse Gradient Descent Method and Quantization of Deep Neural Networks

Jack Xin
University of California, Irvine
Fri. 9/29

Reliable data-driven models for engineering design

Siavash Jafarzadeh
Lehigh University
Fri. 10/13

TBA

Abiy Tasissa
Tufts University
Fri. 10/20

TBA

Nan Chen
University of Wisconsin-Madison
Fri. 10/27

Discretization-Invariant Operator Learning: Algorithms and Theory

Haizhao Yang
University of Maryland, College Park
Fri. 11/3

TBA

Thomas Strohmer
University of California, Davis
Fri. 11/17

TBA

Dejan Slepčev
Carnegie Mellon University
Fri. 12/1

TBA

Maarten de Hoop
Rice University