Sparsity and the L1 Norm
17:47
Compressed Sensing: When It Works
9:34
The Lp Norm for Vectors and Functions
8:25
What is Sparsity?
27:58
Robust, Interpretable Statistical Models: Sparse Regression with the LASSO
15:09
L1 and L-Infinity Norm Minimization (Approximation Problems)
49:21
Lecture 8: Norms of Vectors and Matrices
22:11
Robust Principal Component Analysis (RPCA)
23:10