Feature Selection in High-Dimensional Classification
Variance Function Estimation in High-dimensions
Consistent Covariance Selection From Data With Missing Values
Marginal Regression For Multitask Learning
Statistical and computational tradeoffs in biclustering
sivaraman-balakrishnan
On Time Varying Undirected Graphs
Minimax Localization of Structural Information in Large Noisy Matrices
On Sparse Nonparametric Conditional Covariance Selection
Time-varying Dynamic Bayesian Networks
le-song