Denoising and Dimension Reduction in Feature Space
A Framework for Probability Density Estimation
Efficient AUC Optimization for classification
Pattern Analysis over Graphs, and Bioinformatics Applications
PAC-Bayes Analysis: Links to Luckiness and Applications
Semi-Supervised Learning and Learning via Similarity Functions: two key settings for Data-dependent Concept Spaces
Kernel methods and Support Vector Machines
Limitations of kernel and multiple kernel learning
The First-Order View of Boosting Methods: Computational Complexity and Connections to Regularization
Targeted PDF Learning