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Chapters

• Preface and Table of Content
• Chapter 1: Starter: Convex Optimization
• Chapter 2: Introduction: Advanced Machine Learning
• Chapter 3: Basics: Stochastic Optimization
• Chapter 4: Foundations: Stochastic Compositional Optimization
• Chapter 5: Advances: Finite-sum Coupled Compositional Optimization
• Chapter 6: Applications: Learning Predictive, Generative, and Representation Models
• Chapter 7: Afterword
• References

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