├── README.md ├── assets └── img │ └── ie598.jpg └── lecture_scribe ├── IE598-lecture1-introduction.pdf ├── IE598-lecture10-projected-gradient-descent.pdf ├── IE598-lecture11-conditional-gradient.pdf ├── IE598-lecture12-coordinate-descent-algorithms.pdf ├── IE598-lecture13-case-study-on-logistic-regression.pdf ├── IE598-lecture14-subgradient-methods.pdf ├── IE598-lecture15-mirror-descent.pdf ├── IE598-lecture16-smoothing-techniques-I.pdf ├── IE598-lecture17-smoothing-techniques-II.pdf ├── IE598-lecture18-mirror-prox-algorithm-for-saddle-point-problems.pdf ├── IE598-lecture19-proximal-gradient-method-and-its-acceleration.pdf ├── IE598-lecture2-convex-set.pdf ├── IE598-lecture20-splitting-algorithms.pdf ├── IE598-lecture21-stochastic-optimization.pdf ├── IE598-lecture22-stochastic-optimization-II.pdf ├── IE598-lecture23-incremental-gradient-algorithms.pdf ├── IE598-lecture24-summary-and-outlook.pdf ├── IE598-lecture24-summary-and-outlook_slides.pdf ├── 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