These lecture notes will be updated frequently.
Sparse representation
Model selection in linear models
Lasso: algorithms and extensions
Gaussian graphical models and graphical lasso
Compressed sensing and sparse recovery
Phase transition and convex geometry
Low-rank matrix recovery
Robust principal component analysis
Super-resolution