Tan, Kean Ming

8 publications

JMLR 2025 Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data Yanxin Jin, Yang Ning, Kean Ming Tan

JMLR 2025 Linear Hypothesis Testing in High-Dimensional Expected Shortfall Regression with Heavy-Tailed Errors Gaoyu Wu, Jelena Bradic, Kean Ming Tan, Wen-Xin Zhou

JMLR 2023 High-Dimensional Inference for Generalized Linear Models with Hidden Confounding Jing Ouyang, Kean Ming Tan, Gongjun Xu

JMLR 2022 Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees Kean Ming Tan, Heather Battey, Wen-Xin Zhou

JMLR 2021 Model Linkage Selection for Cooperative Learning Jiaying Zhou, Jie Ding, Kean Ming Tan, Vahid Tarokh

JMLR 2019 Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models Kean Ming Tan, Junwei Lu, Tong Zhang, Han Liu

ICML 2018 Graphical Nonconvex Optimization via an Adaptive Convex Relaxation Qiang Sun, Kean Ming Tan, Han Liu, Tong Zhang

JMLR 2014 Learning Graphical Models with Hubs Kean Ming Tan, Palma London, Karthik Mohan, Su-In Lee, Maryam Fazel, Daniela Witten