Optimization Algorithms in Support Vector Machines
Lecture 14: Methods (Truncated Newton Method)
Optimization Algorithms in Machine Learning
High-Dimensional Statistics
Topics in Mathematics of Data Science
Algorithmic Strategies for Non-convex Optimization in Sparse Learning
Dynamic ℓ1 Reconstruction
Optimization in Learning and Data Analysis
Sparse modeling: some unifying theory and “topic-imaging”
Sparse Reinforcement Learning in High Dimensions