ELE538B: Sparsity, Structure and Inference

Sparse representation

Model selection in linear regression

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 and spectral estimation