Abstract
We build long chains of inference based on the results of data mining. But how do we certify the results of these inference so that we can say things like "there's a 51% chance you're a US person?" And more importantly, how can we generate compact certificates to give to users to validate labels being assigned to them?
Formally, suppose I'm given a clustering of a set of points into groups. How do I assign a score (or set of scores) to a point that captures the strength of its assignment to a group? In this talk I'll describe a method that draws on Voronoi-based interpolation techniques to define such a score, and uses epsilon-samples and convex body sampling to compute the score efficiently. I'll then illustrate the use of such a score with example applications.
This is joint work with Parasaran Raman.