##### Department of Mathematics,

University of California San Diego

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### Math 296 - Graduate Colloquium

## Ery Arias-Castro

#### UCSD

## On using graph distances to estimate Euclidean and related distances

##### Abstract:

Graph distances have proven quite useful in machine learning/statistics, particularly in the estimation of Euclidean or geodesic distances. The talk will include a partial review of the literature, and then present more recent developments on the estimation of curvature-constrained distances on a surface, and well as on the estimation of Euclidean distances based on an unweighted and noisy neighborhood graph.

### January 23, 2020

### 12:00 PM

### AP&M 6402

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