Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds, and Benign Overfitting

Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds, and Benign Overfitting

Published on ● Video Link: https://www.youtube.com/watch?v=02KVK7MYuT4



Duration: 1:03:40
990 views
20


Frederic Koehler (Simons Institute)
https://simons.berkeley.edu/talks/uniform-convergence-interpolators-gaussian-width-norm-bounds-and-benign-overfitting
Deep Learning Theory Symposium







Tags:
Simons Institute
theoretical computer science
UC Berkeley
Computer Science
Theory of Computation
Theory of Computing
Deep Learning Theory Symposium
Frederic Koehler