Note8. Proximal Gradient Descent and Subgradient

This entry is part 8 of 10 in the series ConvexOptimization

          Note8. [PDF Link] Below notes were taken by my iPad Pro 3.0 and exported to PDF files. All contents were based on “Optimization for AI (AI505)” lecture notes at KAIST. For the supplements, lecture notes from Martin Jaggi [link] and “Convex Optimization” book of Sebastien Bubeck [link] were used. If you will …

Read moreNote8. Proximal Gradient Descent and Subgradient

Note5. Convergence Analysis

This entry is part 5 of 10 in the series ConvexOptimization

          Note5. [PDF Link] Below notes were taken by my iPad Pro 3.0 and exported to PDF files. All contents were based on “Optimization for AI (AI505)” lecture notes at KAIST. For the supplements, lecture notes from Martin Jaggi [link] and “Convex Optimization” book of Sebastien Bubeck [link] were used. If you will …

Read moreNote5. Convergence Analysis

Note4. Recap Note1~2

This entry is part 4 of 10 in the series ConvexOptimization

          Note4. [PDF Link] Below notes were taken by my iPad Pro 3.0 and exported to PDF files. All contents were based on “Optimization for AI (AI505)” lecture notes at KAIST. For the supplements, lecture notes from Martin Jaggi [link] and “Convex Optimization” book of Sebastien Bubeck [link] were used. If you will …

Read moreNote4. Recap Note1~2

Note3. Convex Optimization Problem 02-2.

This entry is part 3 of 10 in the series ConvexOptimization

          Note3. [PDF Link] Below notes were taken by my iPad Pro 3.0 and exported to PDF files. All contents were based on “Optimization for AI (AI505)” lecture notes at KAIST. For the supplements, lecture notes from Martin Jaggi [link] and “Convex Optimization” book of Sebastien Bubeck [link] were used. If you will …

Read moreNote3. Convex Optimization Problem 02-2.