29 citations · 44 across the 9 of their papers we have counts for
4 papers · 1 filter
Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth
Jeff Calder, Mahmood Ettehad
Shortest path graph distances are widely used in data science and machine learning, since they can approximate the underlying geodesic distance on the data manifold. However, the s…
Online Prediction With History-Dependent Experts: The General Case
Nadejda Drenska, Jeff Calder
We study the problem of prediction of binary sequences with expert advice in the online setting, which is a classic example of online machine learning. We interpret the binary sequ…
A continuum limit for the PageRank algorithm
Amber Yuan, Jeff Calder, Braxton Osting
Semi-supervised and unsupervised machine learning methods often rely on graphs to model data, prompting research on how theoretical properties of operators on graphs are leveraged…
The limit shape of convex hull peeling
Jeff Calder, Charles K Smart
We prove that the convex peeling of a random point set in dimension d approximates motion by the 1/(d + 1) power of Gaussian curvature. We use viscosity solution theory to interpre…