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Han Liu

Kernel meets sieve: post-regularization confidence bands for sparse additive model
Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression
Optimal Feature Selection in High-Dimensional Discriminant Analysis
Graph Estimation From Multi-attribute Data
Feature Selection in High-Dimensional Classification
Markov Network Estimation From Multi-attribute Data
Marginal Regression For Multitask Learning