Optimization in Machine Learning: Recent Developments and Current Challenges
Guaranteed Non-convex Learning Algorithms through Tensor Factorization
Non Smooth, Non Finite, and Non Convex Optimization
Optimization Algorithms in Support Vector Machines
Convex Analysis and Optimization
Prediction: Machine Learning and Statistics
Lecture 19: Interior-Point Methods (Cont.)
Mind the duality gap: safer rules for the Lasso
Optimization in Learning and Data Analysis
Microeconomic Theory IV