Non Smooth, Non Finite, and Non Convex Optimization
Optimization in Machine Learning: Recent Developments and Current Challenges
Optimization Algorithms in Support Vector Machines
Theoretical Neuroscience and Deep Learning Theory
A Tour of Modern "Image Processing"
Optimization in Learning and Data Analysis
Divide and Conquer Kernel Ridge Regression
Fast projections onto l1,q-norm balls for grouped feature selection
Convex Optimization with Abstract Linear Operators
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization