Mathematics Graduate Student Colloquium

MGSC Website: http://math.uci.edu/~mgsc/

Mathematical Representation of Data Visualization Methods

Kathryn Dover
Tuesday, September 8, 2020
11:00 am - 11:50 am
Virtual via Zoom

Talk Abstract:

Data visualization often involves algorithms generating 2-dimensional representations of data to illustrate relationships between different data points. The standard algorithm used for data visualization is tSNE, a non-convex method that represents the differences between data points as weighted probabilities in high and low dimensions and then minimizes the "distance" between these distributions using the Kullback-Leibler divergence. Despite its wide success, there is still very little mathematical understanding of the algorithm. In this talk, we discuss tSNE and our attempt to better mathematically represent the algorithm in both theory and practice.

About the Speaker:

Kat is a 4th year graduate student working on machine learning and probability and machine learning

Refreshments:

Pizza will be served after the talk.