Playlist: 13 videos

Deep Learning Theory Symposium

1:3:40

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

Frederic Koehler (Simons Institute)
https://simons.berkeley.edu/talks/uniform-convergence-interpolators-gaussian-width-norm-bounds-and-benign-overfitting
Deep Learning Theory Symposium
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1:1:10

Adaptive Wavelet Distillation from DNNs and Dictionary Learning

Bin Yu (UC Berkeley)
https://simons.berkeley.edu/talks/tba-150
Deep Learning Theory Symposium
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0:17:30

Graphon Neural Networks and the Transferability of Graph Neural Networks

Luiz Chamon (UC Berkeley)
https://simons.berkeley.edu/talks/graphon-neural-networks-and-transferability-graph-neural-networks
Deep Learning Theory Symposium
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0:16:35

Self-Training Converts Weak Learners to Strong Learners in Mixture Models

Spencer Frei (UC Berkeley)
https://simons.berkeley.edu/talks/self-training-converts-weak-learners-strong-learners-mixture-models
Deep Learning Theory Symposium
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0:13:26

Non-Parametric Convergence Rates for Plain Vanilla Stochastic Gradient Descent

Raphaël Berthier (École polytechnique fédérale de Lausanne)
https://simons.berkeley.edu/talks/non-parametric-convergence-rates-plain-vanilla-stochastic-gradient-descent
Deep Learning Theory Symposium
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0:26:30

Sharp Matrix Concentration

March Boedihardjo (University of California, Irvine)
https://simons.berkeley.edu/talks/sharp-matrix-concentration
Deep Learning Theory Symposium
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1:3:51

Learning Staircases

Emmanuel Abbe (École polytechnique fédérale de Lausanne), Enric Boix (MIT), Theodor Misiakiewicz (Stanford University)
https://simons.berkeley.edu/talks/learning-staircases
Deep Learning Theory Symposium
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0:54:21

Exact Asymptotics and Universality for Gradient Flows and Empirical Risk Minimizers

Andrea Montanari (Stanford University)
https://simons.berkeley.edu/talks/tba-152
Deep Learning Theory Symposium
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0:19:5

The Spectrum of Nonlinear Random Matrices for Ultra-Wide Neural Networks

Yizhe Zhu (University of California, Irvine)
https://simons.berkeley.edu/talks/spectrum-nonlinear-random-matrices-ultra-wide-neural-networks
Deep Learning Theory Symposium
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0:17:15

Universality of Neural Networks

Dan Mikulincer (MIT)
https://simons.berkeley.edu/talks/universality-neural-networks
Deep Learning Theory Symposium
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