Uniform Convergence Rates for Lipschitz Learning on Graphs

I am very happy to announce that our paper on Uniform Convergence Rates for Lipschitz Learning on Graphs has appeared in the IMA journal of numerical analysis.

The code for the experiments can be found on our GitHub repository LipschitzLearningRates.

Lecture on Lipschitz Learning Convergence Rate

During the workshop Dynamics and Discretization: PDEs, Sampling, and Optimization in October 2021 at the Simons Insitute Berkeley Jeff Calder gave a lecture about the subject. The video is available on YouTube.

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