General Information

Instructor: Tomer Koren ([email protected])

Weekly schedule

General info & requirements

<aside> ⚠️ Class materials will be added here as semester progresses. Please let me know of any errors or typos you come across!

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Lectures

Lecture 1: Introduction, Convex analysis recap

Lecture 2: Convex Optimization and Computational Efficiency

Lecture 3: Online Convex Optimization

Lecture 4: Expert Advice and Online Mirror Descent

Lecture 5: Online Mirror Descent, Online to Batch conversions

Lecture 6-7: Statistical Estimation & Lower Bounds

Lecture 8: Statistical Learning view of Stochastic Optimization

Lecture 9: Generalization in Stochastic Convex Optimization

Lecture 10: Algorithmic Stability

Lecture 11: Stability of Gradient Methods