Interpolation in Learning - Steps Towards Understanding When Overparameterization Is Harmless, When It Helps, and When It Causes Harm

Interpolation in Learning - Steps Towards Understanding When Overparameterization Is Harmless, When It Helps, and When It Causes Harm

Institute for Advanced Study via YouTube Direct link

Examples

14 of 14

14 of 14

Examples

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Interpolation in Learning - Steps Towards Understanding When Overparameterization Is Harmless, When It Helps, and When It Causes Harm

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  1. 1 Introduction
  2. 2 Basic principle
  3. 3 Double descent phenomena
  4. 4 Interpretation regime
  5. 5 Ill climate talk
  6. 6 Lower bound
  7. 7 Visualizations
  8. 8 Is this paradigm attic
  9. 9 Aliasing and aliases
  10. 10 Intuition
  11. 11 Matrix Intuition
  12. 12 Minimum 2 Norms
  13. 13 Why
  14. 14 Examples

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