Stochastic Gradient Descent and Machine Learning - Lecture 1

Stochastic Gradient Descent and Machine Learning - Lecture 1

International Centre for Theoretical Sciences via YouTube Direct link

Stochastic Gradient Descent and Machine Learning Lecture 1

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1 of 20

Stochastic Gradient Descent and Machine Learning Lecture 1

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Stochastic Gradient Descent and Machine Learning - Lecture 1

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  1. 1 Stochastic Gradient Descent and Machine Learning Lecture 1
  2. 2 5 different facets of optimization
  3. 3 Optimization
  4. 4 1. Iterative methods
  5. 5 Blackbox oracles
  6. 6 2. Gradient descent
  7. 7 3. Newton's method
  8. 8 Cheap gradient principle
  9. 9 Fixed points of GD
  10. 10 Proposition
  11. 11 Proof
  12. 12 Convexity
  13. 13 Examples of convex functions
  14. 14 Theorem
  15. 15 Proof
  16. 16 gx is subgradient of a convex function f at x
  17. 17 Example
  18. 18 Theorem
  19. 19 Claim
  20. 20 Wrap Up

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