Stephen Wright: Fundamentals of Optimization in Signal Processing

Stephen Wright: Fundamentals of Optimization in Signal Processing

Hausdorff Center for Mathematics via YouTube Direct link

The slow linear rate is typical!

14 of 17

14 of 17

The slow linear rate is typical!

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Classroom Contents

Stephen Wright: Fundamentals of Optimization in Signal Processing

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  1. 1 Group Sparsity
  2. 2 Three Scenarios
  3. 3 Non-overlapping Groups
  4. 4 Tree-Structured Groups
  5. 5 Matrix Inference Problems
  6. 6 Nuclear Norm Regularization
  7. 7 Another Matrix Inference Problem: Inverse Covariance
  8. 8 Atomic-Norm Regularization
  9. 9 References
  10. 10 Steepest Descent
  11. 11 Backtracking
  12. 12 Weakly convex: 1/k sublinear rate
  13. 13 Linear convergence without strong convexity
  14. 14 The slow linear rate is typical!
  15. 15 Multistep Methods: The Heavy-Ball
  16. 16 Conjugate Gradient
  17. 17 Accelerated First-Order Methods

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