Upcoming Mathematics of Machine Learning Seminars
Past talks
For a list of past talks in this seminar, visit this link.
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.
For a list of past talks in this seminar, visit this link.
There are no seminars to display for this semester at this time.
Date | Speaker | Title |
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Fri. 9/15
|
Wuchen Li University of South Carolina |
|
Fri. 9/22
|
Jack Xin University of California, Irvine |
|
Fri. 9/29
|
Siavash Jafarzadeh Lehigh University |
|
Fri. 10/13
|
Abiy Tasissa Tufts University |
|
Fri. 10/20
|
Nan Chen University of Wisconsin-Madison |
|
Fri. 10/27
|
Haizhao Yang University of Maryland, College Park |
|
Fri. 11/3
|
Thomas Strohmer University of California, Davis |
|
Fri. 11/17
|
Dejan Slepčev Carnegie Mellon University |
|
Fri. 12/1
|
Maarten de Hoop Rice University |
|
Fri. 12/8
|
Sam Otto University of Washington |
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