Shen, Xiaotong

13 publications

JMLR 2024 Causal Discovery with Generalized Linear Models Through Peeling Algorithms Minjie Wang, Xiaotong Shen, Wei Pan

CLeaR 2024 Inference of Nonlinear Causal Effects with Application to TWAS with GWAS Summary Data Ben Dai, Chunlin Li, Haoran Xue, Wei Pan, Xiaotong Shen

JMLR 2023 Inference for a Large Directed Acyclic Graph with Unspecified Interventions Chunlin Li, Xiaotong Shen, Wei Pan

JMLR 2020 A Regularization-Based Adaptive Test for High-Dimensional GLMs Chong Wu, Gongjun Xu, Xiaotong Shen, Wei Pan

JMLR 2019 Smooth Neighborhood Recommender Systems Ben Dai, Junhui Wang, Xiaotong Shen, Annie Qu

JMLR 2016 A New Algorithm and Theory for Penalized Regression-Based Clustering Chong Wu, Sunghoon Kwon, Xiaotong Shen, Wei Pan

JMLR 2015 Simultaneous Pursuit of Sparseness and Rank Structures for Matrix Decomposition Qi Yan, Jieping Ye, Xiaotong Shen

JMLR 2013 Cluster Analysis: Unsupervised Learning via Supervised Learning with a Non-Convex Penalty Wei Pan, Xiaotong Shen, Binghui Liu

JMLR 2011 Large Margin Hierarchical Classification with Mutually Exclusive Class Membership Huixin Wang, Xiaotong Shen, Wei Pan

JMLR 2009 On Efficient Large Margin Semisupervised Learning: Method and Theory Junhui Wang, Xiaotong Shen, Wei Pan

JMLR 2007 Large Margin Semi-Supervised Learning Junhui Wang, Xiaotong Shen

JMLR 2007 Penalized Model-Based Clustering with Application to Variable Selection Wei Pan, Xiaotong Shen

AISTATS 2007 Preface Marina Meila, Xiaotong Shen