Convex Analysis and Optimization
Optimization Algorithms in Support Vector Machines
Efficient Discriminative Training Method for Structured Predictions
Dirichlet space
Fast Algorithms for Informed Source Separation
Efficiency of Quasi-Newton Methods on Strictly Positive Functions
Online-Batch Strongly Convex Multi Kernel Learning
On Recent Trends in Extremely Large-Scale Convex Optimization
The First-Order View of Boosting Methods: Computational Complexity and Connections to Regularization