Power of Active Sampling for Unsupervised Learning

Power of Active Sampling for Unsupervised Learning

Simons Institute via YouTube Direct link

Computational Complexity - Simulations

14 of 22

14 of 22

Computational Complexity - Simulations

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Classroom Contents

Power of Active Sampling for Unsupervised Learning

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  1. 1 Intro
  2. 2 Big Data, Bigger Systems
  3. 3 Partially observed data
  4. 4 Statistical Learning Tradeoffs
  5. 5 Power of Active Sampling
  6. 6 Gaussian Graphical Models
  7. 7 Passive Graphical Model Selection
  8. 8 Active Graphical Model Selection
  9. 9 Outline
  10. 10 Incoherence & leverage scores
  11. 11 Random sampling for matrix completion
  12. 12 Active sampling for matrix completion
  13. 13 Low-rank Matrix completion
  14. 14 Computational Complexity - Simulations
  15. 15 Effect of Row Coherence - Simulations
  16. 16 Effect of Row Coherence - Theory
  17. 17 Column subset selection (CSS)
  18. 18 Active Matrix Approximation
  19. 19 Summary of results and assumptions
  20. 20 Active sampling for clustering
  21. 21 Acknowledgements
  22. 22 References

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