Taking Advantage of Sparsity in Multi-Task Learning
Task-Driven Dictionary Learning
Telling cause from effect based on high-dimensional observations
Testing for Homogeneity with Kernel Fisher Discriminant Analysis
Text Data Mining: Theory and Methods
The AdaBoost Flow
The Artificial Regression Market
The Benefit of Group Sparsity
The Directed Closure Process in Hybrid Social-Information Networks, with an Analysis of Link Formation on Twitter
The Discrete Infinite Logistic Normal Distribution
The Feature Importance Ranking Measure
The Generalization Ability of Online Algorithms for Dependent Data
The Geometry of Generalized Binary Search
The Graphical Lasso: New Insights and Alternatives
The Interaction of Entropy-Based Discretization and Sample Size: An Empirical Study
The Lasso under Heteroscedasticity
The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning
The nested Chinese restaurant process and Bayesian nonparametric inference of topic hierarchies
The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs
The Optimal Unbiased Value Estimator and its Relation to LSTD, TD and MC