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Retire: Robust Expectile Regression in High Dimensions


Dec 11, 2022
Rebeka Man, Kean Ming Tan, Zian Wang, Wen-Xin Zhou

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Communication-Efficient Distributed Quantile Regression with Optimal Statistical Guarantees


Oct 25, 2021
Heather Battey, Kean Ming Tan, Wen-Xin Zhou

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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

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* 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

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* 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

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* 3 figures 

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