Low-rank modeling
Convex Optimization
Lecture 14: Methods (Truncated Newton Method)
Compressive Sensing for Computer Vision: Hype vs Hope
Unsupervised learning
Lecture 12: Recap: 'Difference Of Convex' Programming
Matrix Computations in Machine Learning
Tools and Techniques for Sparse Optimization and Beyond
Lecture 14: LU Factorization (Cont.)
Unsupervised Learning for Stereo Vision