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Publication Date
Article Title
Author(s)
2017
Mining Massive Amounts of Genomic Data: A Semiparametric Topic Modeling Approach
Fang, EX; Li, MD; Jordan, MI; Liu, H
2014
Mode estimation for high dimensional discrete tree graphical models
Chen, C; Liu, H; Metaxas, DN; Zhao, T
2016
Sparse median graphs estimation in a high-dimensional semiparametric model
Han, Fang; Han, Xiaoyan; Liu, Han; Caffo, Brian
Feb-2015
Optimal Feature Selection in High-Dimensional Discriminant Analysis
Kolar, Mladen; Liu, Han
2015
Optimal linear estimation under unknown nonlinear transform
Yi, X; Wang, Z; Caramanis, C; Liu, H
2018
Post-regularization inference for time-varying nonparanormal graphical models
Lu, J; Kolar, M; Liu, H
22-Feb-2018
Pathwise coordinate optimization for sparse learning: Algorithm and theory
Zhao, T; Liu, H; Zhang, T
2014
Positive Semidefinite Rank-Based Correlation Matrix Estimation With Application to Semiparametric Graph Estimation
Zhao, Tuo; Roeder, Kathryn; Liu, Han
2016
On the statistical limits of convex relaxations: A case study
Wang, Z; Gu, Q; Liu, H
2016
Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes
Li, CJ; Wang, Z; Liu, H