Kun Chen

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 17

Top Topics

Maximum Entropy Discrimination

Multivariate Regression

Convolutional Network

Mixture Modeling

Top Venues

J. Multivar. Anal.

J. Mach. Learn. Res.

Publications

Jun Yu, Zhaoming Kong, Kun Chen, Xin Zhang, Yong Chen, Lifang He
A Multilinear Least-Squares Formulation for Sparse Tensor Canonical Correlation Analysis. Trans. Mach. Learn. Res. 2024 (2024)
Jun Jin, Jun Yan, Robert H. Aseltine, Kun Chen
Transfer Learning with Large-Scale Quantile Regression. Technometrics 66 (3) (2024)
Wanwan Xu, Chang Su, Yan Li, Steven Rogers, Fei Wang, Kun Chen, Robert H. Aseltine
Improving suicide risk prediction via targeted data fusion: proof of concept using medical claims data. J. Am. Medical Informatics Assoc. 29 (3) (2022)
Xiaokang Liu, Shujie Ma, Kun Chen
Multivariate Functional Regression Via Nested Reduced-Rank Regularization. J. Comput. Graph. Stat. 31 (1) (2022)
Kun Chen, Ruipeng Dong, Wanwan Xu, Zemin Zheng
Fast Stagewise Sparse Factor Regression. J. Mach. Learn. Res. 23 (2022)
Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang
Learning to Collaborate. CoRR (2021)
Kun Chen, Ruipeng Dong, Wanwan Xu, Zemin Zheng
Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix. CoRR (2020)
Jian Liang, Kun Chen, Ming Lin, Changshui Zhang, Fei Wang
Robust Finite Mixture Regression for Heterogeneous Targets. CoRR (2020)
Lifang He, Kun Chen, Wanwan Xu, Jiayu Zhou, Fei Wang
Boosted Sparse and Low-Rank Tensor Regression. NeurIPS (2018)
Jian Liang, Kun Chen, Ming Lin, Changshui Zhang, Fei Wang
Robust finite mixture regression for heterogeneous targets. Data Min. Knowl. Discov. 32 (6) (2018)
Xi Zhang, Lifang He, Kun Chen, Yuan Luo, Jiayu Zhou, Fei Wang
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease. CoRR (2018)
Chongliang Luo, Jian Liang, Gen Li, Fei Wang, Changshui Zhang, Dipak K. Dey, Kun Chen
Leveraging mixed and incomplete outcomes via reduced-rank modeling. J. Multivar. Anal. 167 (2018)
Lifang He, Kun Chen, Wanwan Xu, Jiayu Zhou, Fei Wang
Boosted Sparse and Low-Rank Tensor Regression. CoRR (2018)
Xi Zhang, Lifang He, Kun Chen, Yuan Luo, Jiayu Zhou, Fei Wang
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease. AMIA (2018)
Gyuhyeong Goh, Dipak K. Dey, Kun Chen
Bayesian sparse reduced rank multivariate regression. J. Multivar. Anal. 157 (2017)
Victor H. Lachos, Edgar J. López Moreno, Kun Chen, Celso Rômulo Barbosa Cabral
Finite mixture modeling of censored data using the multivariate Student-t distribution. J. Multivar. Anal. 159 (2017)
Kun Chen, Fei Wang, Robert Aseltine
Using Hospitalization and Suicide Mortality Data to Identify Subpopulation of High Suicide Risk via Survival Modeling. AMIA (2016)