This project lists all of my solutions to the exercises and deliverables for the TUM class Convex Optimization for Machine Learning & Computer Vision (Winter Semester 2019/20).
- Week 1 - Convex Sets
- Week 2 - Convex Functions
- Week 3 - Subdifferential
- Week 4 - Convex Conjugate I
- Week 5 - Convex Conjugate II
- Week 6 - Proximal Operator
- Week 7 - Duality
- Week 8 - Exact Line Search
- Week 0 - Sparse Matrices & Total Variation
- Week 2 - Inpainting by Total Variation
- Week 4 - SUDOKU by Projected Gradient
- Week 6 - Multinomial Logistic Regression by Proximal Gradient
- Week 8 - Denoising by Line Search
The project is versioned with each new course deliverable. For the versions available, see the tags on this repository.