Small Covers for Near-zero Sets of Polynomials and Learning Latent Variable Models

Small Covers for Near-zero Sets of Polynomials and Learning Latent Variable Models

IEEE FOCS: Foundations of Computer Science via YouTube Direct link

Intro

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1 of 15

Intro

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Small Covers for Near-zero Sets of Polynomials and Learning Latent Variable Models

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  1. 1 Intro
  2. 2 Gaussian Mixture Models
  3. 3 Parameter Estimation
  4. 4 Method of Moments
  5. 5 Low Degree Moments
  6. 6 Obstacle
  7. 7 Dimension Reduction Redux
  8. 8 Using Higher Moments
  9. 9 Zero Set
  10. 10 Difficulties
  11. 11 Main Technical Lemma
  12. 12 Cover
  13. 13 Density Estimation
  14. 14 Mixtures of Linear Regressions
  15. 15 Conclusions

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