Random Matrix Theory and ML (RMT+ML)
Fabian Pedregosa ⋅ Courtney Paquette ⋅ Thomas Trogdon ⋅ Jeffrey Pennington
2021 Tutorial
Abstract
In recent years, random matrix theory (RMT) has come to the forefront of learning theory as a tool to understand some of its most important challenges. From generalization of deep learning models to a precise analysis of optimization algorithms, RMT provides analytically tractable models.
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Schedule
Time zone: Conference local time zone
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9:00 PM
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9:05 PM
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10:06 PM
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10:30 PM
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11:00 PM
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11:45 PM
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