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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).
