High-Dimensional Statistics
From Trees to Forests and Rule Sets - A Unified Overview of Ensemble Methods
The prediction error in functional regression
The Regularization Frontier in Machine Learning
Optimal aggregation of affine estimators
An Overview of Compressed Sensing and Sparse Signal Recovery via L1 Minimization
Information Theory
Seeking Interpretable Models for High Dimensional Data
High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning