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20182020
most citedLipschitz neural networks are dense in the set of all Lipschitz functions

2 citations · 2 across the 1 of their papers we have counts for

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math.OC2020

MinMax Methods for Optimal Transport and Beyond: Regularization, Approximation and Numerics

Luca De Gennaro Aquino, Stephan Eckstein

We study MinMax solution methods for a general class of optimization problems related to (and including) optimal transport. Theoretically, the focus is on fitting a large class of…

stat.ML2020★ 2 cited

Lipschitz neural networks are dense in the set of all Lipschitz functions

Stephan Eckstein

This note shows that, for a fixed Lipschitz constant , one layer neural networks that are -Lipschitz are dense in the set of all -Lipschitz functions with respect to t…