Approximation and Learning with Tree Tensor Networks

Approximation and Learning with Tree Tensor Networks

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

Oracle inequality

14 of 18

14 of 18

Oracle inequality

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Classroom Contents

Approximation and Learning with Tree Tensor Networks

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  1. 1 Introduction
  2. 2 Tensorization of functions
  3. 3 Approximation
  4. 4 Elementary tensors
  5. 5 Approximation tools
  6. 6 Best approximation error
  7. 7 Properties of approximation tools
  8. 8 Conclusion
  9. 9 An interesting result
  10. 10 Strategy
  11. 11 Classical approach
  12. 12 Practice
  13. 13 Approximation tool
  14. 14 Oracle inequality
  15. 15 Bezel spaces
  16. 16 Proposed strategy
  17. 17 In practice
  18. 18 Conclusions

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