Aug 21, 2017
Monday
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11:00 AM - 12:00 PM
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Deviations of random matrices and applications
Roman Vershynin (University of Michigan)
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- Location
- MSRI: Simons Auditorium
- Video
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- Abstract
Uniform laws of large numbers provide theoretical foundations for statistical learning theory. This series of lectures will focus on quantitative uniform laws of large numbers for random matrices. A range of illustrations will be given in geometric functional analysis and data science, in particular to covariance estimation, signal recovery, and sparse regression.
- Supplements
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Aug 23, 2017
Wednesday
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11:00 AM - 12:00 PM
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Deviations of random matrices and applications
Roman Vershynin (University of Michigan)
|
- Location
- MSRI: Simons Auditorium
- Video
-
- Abstract
Uniform laws of large numbers provide theoretical foundations for statistical learning theory. This series of lectures will focus on quantitative uniform laws of large numbers for random matrices. A range of illustrations will be given in geometric functional analysis and data science, in particular to covariance estimation, signal recovery, and sparse regression.
- Supplements
-
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Aug 25, 2017
Friday
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11:00 AM - 12:00 PM
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Deviations of random matrices and applications
Roman Vershynin (University of Michigan)
|
- Location
- MSRI: Simons Auditorium
- Video
-
- Abstract
Uniform laws of large numbers provide theoretical foundations for statistical learning theory. This series of lectures will focus on quantitative uniform laws of large numbers for random matrices. A range of illustrations will be given in geometric functional analysis and data science, in particular to covariance estimation, signal recovery, and sparse regression.
- Supplements
-
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