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Lecture videos (2019)

by @stats385 · last added 2026-09-24 · 9 items [videos-2019]

YouTube recordings from the Fall 2019 Analyses of Deep Learning series.

* Lecture 10 — Vardan Papyan
Lecture 10 (2019): Vardan Papyan — Hessians and spectral analysis.
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* Lecture 09 — Andrew Saxe
Lecture 9 (2019): Andrew Saxe — deep linear network dynamics.
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* Lecture 08 — Nathan Srebro
Lecture 8 (2019): Nathan Srebro — implicit bias and inductive bias.
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* Lecture 07 — Aleksander Madry
Lecture 7 (2019): Aleksander Madry — adversarial robustness.
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* Lecture 06 — Arthur Jacot
Lecture 6 (2019): Arthur Jacot — Neural Tangent Kernel.
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* Lecture 05 — Song Mei
Lecture 5 (2019): Song Mei — mean-field views of neural networks.
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* Lecture 04 — Jeffrey Pennington
Lecture 4 (2019): Jeffrey Pennington — GP / wide-network perspective.
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* Lecture 03 — Tengyu Ma
Lecture 3 (2019): Tengyu Ma on theory and analyses of deep learning.
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* Lecture 01 — Donoho
Lecture 1 (2019): Analyses of Deep Learning — opening overview by David Donoho.
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