Limited-memory quasi-Newton and Hessianfree Newton methods for non-smooth optimization
Optimization Algorithms in Machine Learning
Optimization in Machine Learning: Recent Developments and Current Challenges
Optimization in Learning and Data Analysis
Sparse methods for machine learning: Theory and algorithms
Structured Regularization for MKL
Lecture 14: Methods (Truncated Newton Method)
Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries
Alternating Direction Method of Multipliers
From Trees to Forests and Rule Sets - A Unified Overview of Ensemble Methods