Event time:
Friday, April 22, 2022 - 12:00pm
Speaker:
Anna Gilbert
Speaker affiliation:
Yale
Event description:
Given a set of distances amongst points, determining what metric representation is most “consistent” with the input distances or the metric that best captures the relevant geometric features of the data is a key step in many machine learning algorithms. In this talk, we discuss a number of variants of this problem, from convex optimization problems with metric constraints to sparse metric repair.
Contact: