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Classroom Contents
The Importance of Better Models in Stochastic Optimization
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- 1 Introduction
- 2 The Problem
- 3 Models in Optimization
- 4 Generic Optimization Model
- 5 Stochastic Gradient Method
- 6 Conditions
- 7 Models
- 8 Alternatives
- 9 Robustness Stability
- 10 Fog Theorem
- 11 Weak convexity
- 12 Local asymptotic minimax theorem
- 13 Easy problems
- 14 Sharp growth problems
- 15 Experiments
- 16 Conclusion
