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
Timezone: America/Los_Angeles
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12:00 PM
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12:05 PM
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