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Classroom Contents
Benign Overfitting - Peter Bartlett, UC Berkeley
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- 1 Intro
- 2 Overfitting in Deep Networks
- 3 Statistical Wisdom and Overhitting
- 4 Progress on Overfitting Prediction Rules
- 5 Outline
- 6 Definitions
- 7 From regularization to overfitting
- 8 Interpolating Linear Regression
- 9 Benign Overfitting: A Characterization
- 10 Notions of Effective Rank
- 11 Benign Overfitting: Proof Ideas
- 12 What kinds of eigenvalues?
- 13 Extensions
- 14 Implications for deep learning
- 15 Implications for adversarial examples
- 16 Benign averfitting: Future directions
- 17 Benign Overfitting in Linear Regression
