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Random Matrix Theory and ML (RMT+ML)
Fabian Pedregosa · Courtney Paquette · Thomas Trogdon · Jeffrey Pennington

Mon Jul 19 12:00 PM -- 03:00 PM (PDT) @ Virtual
Event URL: https://random-matrix-learning.github.io/ »

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.

Author Information

Fabian Pedregosa (Google)
Courtney Paquette (McGill University)
Thomas Trogdon (University of Washington)
Jeffrey Pennington (Google Brain)

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