Benign Overfitting - Peter Bartlett, UC Berkeley

Benign Overfitting - Peter Bartlett, UC Berkeley

Alan Turing Institute via YouTube Direct link

Definitions

6 of 17

6 of 17

Definitions

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Benign Overfitting - Peter Bartlett, UC Berkeley

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

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