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.
Chat is not available.
Schedule
Timezone: America/Los_Angeles
|
12:00 PM
|
|
12:05 PM
|
|
1:06 PM
|
|
1:30 PM
|
|
2:00 PM
|
|
|
|
2:45 PM
|
Successful Page Load