Low Rank Tensor Methods in High Dimensional Data Analysis

Low Rank Tensor Methods in High Dimensional Data Analysis

Institute for Pure & Applied Mathematics (IPAM) via YouTube Direct link

TENSOR REGRESSION

10 of 15

10 of 15

TENSOR REGRESSION

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Low Rank Tensor Methods in High Dimensional Data Analysis

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  1. 1 OVERVIEW
  2. 2 ODECO DECOMPOSITION
  3. 3 GENERAL STRATEGY
  4. 4 COMPUTATIONAL LIMITS
  5. 5 WHY IS IT DIFFICULT?
  6. 6 SPECTRAL INITIALIZATION
  7. 7 SNR FOR ODECO
  8. 8 SPATIO-TEMPORAL TRANSCRIPTOME OF THE BRAIN
  9. 9 SUMMARY
  10. 10 TENSOR REGRESSION
  11. 11 TUCKER RANK
  12. 12 CONVEX REGULARIZATION
  13. 13 EXAMPLES SPARSITY
  14. 14 Low RANK MATRIX ESTIMATION
  15. 15 DECOMPOSABILITY

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