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Model Linkage Selection for Cooperative Learning

Jun 14, 2020
Jiaying Zhou, Jie Ding, Kean Ming Tan, Vahid Tarokh


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Estimating and Inferring the Maximum Degree of Stimulus-Locked Time-Varying Brain Connectivity Networks

May 28, 2019
Kean Ming Tan, Junwei Lu, Tong Zhang, Han Liu

* 19 pages of main text 

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Distributionally Robust Reduced Rank Regression and Principal Component Analysis in High Dimensions

Oct 18, 2018
Kean Ming Tan, Qiang Sun, Daniela Witten


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A convex formulation for high-dimensional sparse sliced inverse regression

Sep 17, 2018
Kean Ming Tan, Zhaoran Wang, Tong Zhang, Han Liu, R. Dennis Cook


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Local Uncertainty Sampling for Large-Scale Multi-Class Logistic Regression

Sep 13, 2018
Lei Han, Kean Ming Tan, Ting Yang, Tong Zhang


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Sparse Generalized Eigenvalue Problem: Optimal Statistical Rates via Truncated Rayleigh Flow

Aug 31, 2018
Kean Ming Tan, Zhaoran Wang, Han Liu, Tong Zhang

* To appear in JRSSB 

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Graphical Nonconvex Optimization for Optimal Estimation in Gaussian Graphical Models

Jun 04, 2017
Qiang Sun, Kean Ming Tan, Han Liu, Tong Zhang

* 3 figures 

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Selection Bias Correction and Effect Size Estimation under Dependence

Mar 28, 2015
Kean Ming Tan, Noah Simon, Daniela Witten

* 21 pages, 2 figures 

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Learning Graphical Models With Hubs

Aug 09, 2014
Kean Ming Tan, Palma London, Karthik Mohan, Su-In Lee, Maryam Fazel, Daniela Witten


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The Cluster Graphical Lasso for improved estimation of Gaussian graphical models

Jul 19, 2013
Kean Ming Tan, Daniela Witten, Ali Shojaie


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