Fast methods for sparse recovery: alternatives to L1
Topics in Mathematics of Data Science
Learning Dictionaries for Image Analysis and Sensing
Gradient Descent with Sparsification: An Iterative Algorithm for Sparse Recovery with Restricted Isometry Property
An Overview of Compressed Sensing and Sparse Signal Recovery via L1 Minimization
Compressive Sensing for Computer Vision: Hype vs Hope
New Algorithms for Learning Incoherent and Overcomplete Dictionaries
Dynamic ℓ1 Reconstruction
Theoretical Neuroscience and Deep Learning Theory
Compressed Sensing and Bayesian Experimental Design