Optimal Sampling in Weighted Least-Squares Methods - Application to High-Dimensional Approximation

Optimal Sampling in Weighted Least-Squares Methods - Application to High-Dimensional Approximation

Alan Turing Institute via YouTube Direct link

Concentration inequality

10 of 15

10 of 15

Concentration inequality

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Optimal Sampling in Weighted Least-Squares Methods - Application to High-Dimensional Approximation

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  1. 1 Introduction
  2. 2 Highdimensional approximation
  3. 3 Common problems
  4. 4 Leastsquare method
  5. 5 General question
  6. 6 Deterministic counterpart
  7. 7 Goal
  8. 8 Key ingredient
  9. 9 Noise level
  10. 10 Concentration inequality
  11. 11 Stability regime
  12. 12 Highdimensional PDS
  13. 13 Curse of dimensionality
  14. 14 Adaptive method
  15. 15 References

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