Optimization Algorithms in Machine Learning
Optimization Algorithms in Support Vector Machines
Convex Relaxation and Estimation of High-Dimensional Matrices
Optimization in Learning and Data Analysis
Dynamic ℓ1 Reconstruction
Optimization in Machine Learning: Recent Developments and Current Challenges
Topics in Mathematics of Data Science
An Overview of Compressed Sensing and Sparse Signal Recovery via L1 Minimization
Topics in Applied Mathematics: Waves and Imaging
Lock-Free Approaches to Parallelizing Stochastic Gradient Descent