Nearest Neighbors I

Nearest Neighbors I

Simons Institute via YouTube Direct link

The Metric Space

4 of 28

4 of 28

The Metric Space

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Nearest Neighbors I

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  1. 1 Intro
  2. 2 Talk Outline
  3. 3 k Nearest Neighbors
  4. 4 The Metric Space
  5. 5 Tutorial Outline
  6. 6 NN Regression Setting
  7. 7 Universality
  8. 8 More Formally...
  9. 9 Intuition: Universal Consistency
  10. 10 Convergence Rates
  11. 11 k-NN Distances
  12. 12 From Distances to Rates
  13. 13 Bias-Variance Decomposition
  14. 14 Bounding Bias and Variance
  15. 15 Integrating across the space
  16. 16 Nearest Neighbor Classification
  17. 17 The Statistical Learning Framework
  18. 18 The Bayes Optimal Classifier
  19. 19 Consistency of I-NN
  20. 20 Consistency under Continuity
  21. 21 Proof Intuition
  22. 22 Universal Consistency in Metric Spaces
  23. 23 Main Idea in Prior Analysis
  24. 24 A Motivating Example
  25. 25 Effective Interiors and Boundaries
  26. 26 Convergence Rate Theorem
  27. 27 A Better Smoothness Condition
  28. 28 Smoothness Bounds

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