Lipschitz additive nonlinear uncertainty

Lipschitz learning and the infinity-Laplacian

Miguel Urbano, Professor, Applied Mathematics and Computational Science

Nov 22, 12:00 - 13:00

B9 L2 R2322

Lipschitz additive nonlinear uncertainty infinity Laplacian

Infinity-harmonic functions have recently found application in Semi-Supervised Learning, in the context of the so-called Lipschitz Learning. With this application in mind, we will discuss the Lipschitz extension problem, its solution via MacShane-Whitney extensions and its several drawbacks, leading to the notion of AMLE (Absolutely Minimising Lipschitz Extension).