##### Department of Mathematics,

University of California San Diego

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### Math 296 - Graduate Colloquium

## Ioana Dumitriu

#### UC San Diego

## Random matrices, random graphs, and applications to machine learning

##### Abstract:

The last decade has seen tremendous progress in applying random matrix methods to adjacency matrices or Laplacians of random graphs, in order to understand their spectra and be able to apply the new results to algorithms in machine learning, coding theory, data science, etc. Nevertheless, many problems remain. I will present some of the most interesting tools and new results and mention some (still) open problems.

Host: Elham Izadi

### January 26, 2021

### 3:00 PM

### Contact Elham Izadi for Zoom link

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