Can Non-Convex Optimization Be Robust?

Can Non-Convex Optimization Be Robust?

Simons Institute via YouTube Direct link

Intro

1 of 15

1 of 15

Intro

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Can Non-Convex Optimization Be Robust?

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  1. 1 Intro
  2. 2 Why is non-convex optimization "easy"?
  3. 3 Locally optimizable functions
  4. 4 What happens when assumptions fail?
  5. 5 Robust non-convex optimization with perturbed objective
  6. 6 Motivation: Empirical Risk vs. Population Risk.
  7. 7 Idea: Smoothing
  8. 8 Properties of Smoothing
  9. 9 Ideas of the Lower Bound
  10. 10 Matrix Completion
  11. 11 Semi-Random Adversary
  12. 12 Counter Examples
  13. 13 Preprocessing
  14. 14 Summary
  15. 15 Open Problems

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