• Online Learning • Online Convex Optimization • Convex Functions • Strongly Convex Functions • Exp-concave Functions
文件格式: PDF大小: 20.81MB页数: 84
• GD for Smooth Optimization • Smooth and Convex Functions • Smooth and Strongly Convex Functions • Nesterov’s Accelerated GD • Extension to Composite Optimization
文件格式: PDF大小: 18.3MB页数: 74
• Gradient Descent • Convex and Lipschitz • Polyak Step Size • Convergence without Optimal Value • Optimal Time-Varying Step Sizes • Strongly Convex and Lipschitz
文件格式: PDF大小: 11.14MB页数: 46
• Convex Set and Convex Function • Convex Optimization Problem • Optimality Condition • Function Properties
文件格式: PDF大小: 13.41MB页数: 66
• Calculus • Linear Algebra • Probability & Statistics • Information Theory • Optimization in Machine Learning
文件格式: PDF大小: 4.46MB页数: 53
