Current Projects

New approaches to dimension reduction and inference

Cluster-based graphical model

Bootstrap theory for high dimensional inference

Overlapping clustering

Identifiable sparse latent factor models

Minimax optimal variable clustering

Copula models

High-dimensional classification

Fast and optimal estimation of topic models with unknown number of topics