Summer Graduate School
Parent Program: | -- |
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Location: | SLMath: Eisenbud Auditorium, Commons Room IBM |
Show List of Lecturers
- Kenneth Clarkson (IBM Research Division)
- Misha Kilmer (Tufts University)
- Tamara Kolda (MathSci.ai)
- Shashanka Ubaru (IBM Thomas J. Watson Research Center)
Show List of Teaching Assistants
- Brett Larsen (Stanford University)
- Bhaskar Roberts (University of California, Berkeley)
- Elizabeth Yang (University of California, Berkeley)
Show List of Speakers
- Kenneth Clarkson (IBM Research Division)
- Lior Horesh (IBM Thomas J. Watson Research Center)
- Misha Kilmer (Tufts University)
- Tamara Kolda (MathSci.ai)
- Shashanka Ubaru (IBM Thomas J. Watson Research Center)
This summer school will introduce graduate students to sketching-based approaches to computational linear and multi-linear algebra. Sketching here refers to a set of techniques for compressing a matrix, to one with fewer rows, or columns, or entries, usually via various kinds of random linear maps. We will discuss matrix computations, tensor algebras, and such sketching techniques, together with their applications and analysis.
School Structure
There will be two lectures per day. There will be a problem session in the morning after Lecture 1, and one in the afternoon after Lecture 2. The problem sessions will generally be led by the Teaching Assistants, though the Lecturers will be involved to observe or lead discussion as well. The purpose of the sessions is to reinforce and deepen students’ understanding of the material from the lectures by working on problems and in certain cases, to discuss material relevant to future lectures. This will be done by discussion, question-and-answer, and problem-solving from problem sets. Activities may include presentation of solutions to problems assigned based on lectures, student or TA presentation of material relevant to lecture, or exercises and presentation of relevant background material.
Suggested Prerequisites
The minimum requirement for students to beneficially participate in this summer schools are the basics of probability, algorithms, linear algebra.
For eligibility and how to apply, see the Summer Graduate Schools homepage
Linear and Non-linear Algebra
Robust Estimation
Optimization Methods for AI
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Jun 21, 2021 Monday |
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Jun 28, 2021 Monday |
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Jun 30, 2021 Wednesday |
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Jul 01, 2021 Thursday |
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Jul 02, 2021 Friday |
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