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Implicit Regularization II
Adam Oberman: Generalization Theory in Machine Learning (Part 1/2)
A theory of deep learning: explaining the approximation, optimization and generalization puzzles Pt1
9.520 - 10/26/2015 - Class 14 - Charlie Frogner: Generalization Bounds, Intro to Stability
A theory of deep learning: explaining the approximation, optimization and generalization puzzles Pt2
Analyzing Optimization and Generalization in Deep Learning via Trajectories of Gradient Descent
Lecture 7 | Programming Abstractions (Stanford)
Size-free Generalization Bounds for Convolutional Neural Networks
Lecture 7 | Convex Optimization I
Dynamics and Generalization in deep neural networks
Lecture 7 | Acceleration, Regularization, and Normalization
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Last Updated: August 15, 2026
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