Xiaotong Shen

发表

Multicategory ψ-Learning

Yufeng Liu, Xiaotong Shen, 2006 .

On ψ-Learning

W. Wong, Xiaotong Shen, G. Tseng, 2003 .

Probability inequalities for likelihood ratios and convergence rates of sieve MLEs

W. Wong, Xiaotong Shen, 1995 .

Convergence Rate of Sieve Estimates

W. Wong, Xiaotong Shen, 1994 .

ON THE METHOD OF PENALIZATION

Xiaotong Shen, 1998 .

Rates of convergence of posterior distributions

L. Wasserman, Xiaotong Shen, 2001 .

Empirical Likelihood

Xiaotong Shen, Yonggang Zhao, 2002 .

Structural Pursuit Over Multiple Undirected Graphs

Xiaotong Shen, W. Pan, Yunzhang Zhu, 2014, Journal of the American Statistical Association.

Penalized model-based clustering with unconstrained covariance matrices.

Xiaotong Shen, W. Pan, Hui Zhou, 2009, Electronic journal of statistics.

Estimation of multiple networks in Gaussian mixture models.

Xiaotong Shen, W. Pan, Yunzhang Zhu, 2016, Electronic journal of statistics.

Journal of the American Statistical Association Likelihood-based Selection and Sharp Parameter Estimation Likelihood-based Selection and Sharp Parameter Estimation

Xiaotong Shen, W. Pan, Yunzhang Zhu, 2022 .

Multicategory ψ-Learning and Support Vector Machine: Computational Tools

Yufeng Liu, Xiaotong Shen, Hani Doss, 2005 .

A New Algorithm and Theory for Penalized Regression-based Clustering

Wei Pan, Sunghoon Kwon, Xiaotong Shen, 2016, J. Mach. Learn. Res..

Grouping Pursuit Through a Regularization Solution Surface

Xiaotong Shen, Hsin-Cheng Huang, 2010, Journal of the American Statistical Association.

MULTI-CATEGORY SUPPORT VECTOR MACHINES, FEATURE SELECTION AND SOLUTION PATH

Xiaotong Shen, Lifeng Wang, 2006 .

ON BAHADUR EFFICIENCY AND MAXIMUM LIKELIHOOD ESTIMATION IN GENERAL PARAMETER SPACES

Xiaotong Shen, 2001 .

Simultaneous Grouping Pursuit and Feature Selection Over an Undirected Graph

Xiaotong Shen, W. Pan, Yunzhang Zhu, 2013, Journal of the American Statistical Association.

high-dimensional data analysis

Xiaotong Shen, T. Cai, Tommaso Cai, 1991 .

Probability estimation for large-margin classifiers

Yufeng Liu, Xiaotong Shen, Junhui Wang, 2008 .

Penalized Model-Based Clustering with Application to Variable Selection

Wei Pan, Xiaotong Shen, Xiaotong Shen, 2007, J. Mach. Learn. Res..

Adaptive Model Selection

Xiaotong Shen, Jianming Ye, 2002 .

Asymptotic Normality of Semiparametric and Nonparametric Posterior Distributions

Xiaotong Shen, 2002 .

On Large Margin Hierarchical Classification With Multiple Paths

Xiaotong Shen, W. Pan, Junhui Wang, 2009, Journal of the American Statistical Association.

Local asymptotics for regression splines and confidence regions

Xiaotong Shen, D. Wolfe, S. Zhou, 1998 .

On L1-Norm Multiclass Support Vector Machines

Xiaotong Shen, Lifeng Wang, 2007 .

Longitudinal Analysis Is More Powerful than Cross-Sectional Analysis in Detecting Genetic Association with Neuroimaging Phenotypes

Wei Pan, Xiaotong Shen, Xiaotong Shen, 2014, PloS one.

Process modeling by Bayesian latent variable regression

Prem K. Goel, Bhavik R. Bakshi, Xiaotong Shen, 2002 .

Variable Selection in Penalized Model‐Based Clustering Via Regularization on Grouped Parameters

Xiaotong Shen, W. Pan, Benhuai Xie, 2008, Biometrics.

A Powerful and Adaptive Association Test for Rare Variants

Xiaotong Shen, W. Pan, Junghi Kim, 2014, Genetics.

Bayesian principal component analysis

B. Bakshi, Xiaotong Shen, P. Goel, 2002 .

Constrained likelihood for reconstructing a directed acyclic Gaussian graph.

Xiaotong Shen, Zizhuo Wang, W. Pan, 2018, Biometrika.

Adjusting for Population Stratification in a Fine Scale With Principal Components and Sequencing Data

Xiaotong Shen, W. Pan, Yiwei Zhang, 2013, Genetic epidemiology.

Statistica Sinica Preprint No : SS-2017-0141 Title Large Multiple Graphical Model Inference via Bootstrap

Xiaotong Shen, Shaoli Wang, Yongli Zhang, 2018 .

Automatic tagging with existing and novel tags

Xiaotong Shen, A. Qu, Junhui Wang, 2017 .

Sieve extremum estimates for weakly dependent data

Xiaotong Shen, Xiaohong Chen, Xiaohong Chen, 1998 .

On methods of sieves and penalization

Xiaotong Shen, Xiaotong Shen, 1997 .

Multilocus association testing with penalized regression

Wei Pan, Xiaotong Shen, Saonli Basu, 2011, Genetic epidemiology.

Statistica Sinica Preprint No : SS-2016-0531 Title A New Semiparametric Approach to Finite Mixture of Regressions using Penalized Regression via Fusion

Wei Pan, Xiaotong Shen, Xiaotong Shen, 2018 .

Spline adaptation to smoothness

Xiaotong Shen, 2002 .

Free-knot Splines and Adaptive Knot Selection

Xiaotong Shen, S. Miyata, 2005 .

Adaptive Free-Knot Splines

Satoshi Miyata, Xiaotong Shen, Xiaotong Shen, 2003 .

Adaptive Regularization through Entire Solution Surface

C. Geyer, Xiaotong Shen, WU Seongho, 2008 .

Optimal Model Assessment, Selection, and Combination

Xiaotong Shen, Hsin-Cheng Huang, Xiaotong Shen, 2006 .

Comments on Exploring regression structure with graphics.

Xiaotong Shen, 1993 .

Adaptive Modeling Procedure Selection by Data Perturbation

Xiaotong Shen, Yongli Zhang, 2015, Journal of business & economic statistics : a publication of the American Statistical Association.

Discussion of ``2004 IMS Medallion Lecture: Local Rademacher complexities and oracle inequalities in risk minimization'' by V. Koltchinskii

Xiaotong Shen, G. Lugosi, N. Vayatis, 2007, 0708.0121.

Model selection procedure for high‐dimensional data

Xiaotong Shen, Yongli Zhang, Xiaotong Shen, 2010, Stat. Anal. Data Min..

Does the inclusion of rare variants improve risk prediction?

Xiaotong Shen, W. Pan, E. Austin, 2014, BMC Proceedings.

Discussion of Bickel and Kwon's paper entitled \Inference for Semi- parametric models: Some questions and an answer"

Xiaotong Shen, B Li, Xiaotong Shen, 2001 .

Discussion: Inference and Interpretability Considerations in Frequentist Model Averaging and Selection

Xiaotong Shen, D. Dougherty, 2003 .

Distribution-Invariant Differential Privacy

Xiaotong Shen, Xuan Bi, 2021, Journal of Econometrics.

Deep reinforcement learning for personalized treatment recommendation

Xiaotong Shen, W. Pan, Ming Liu, 2022, Statistics in medicine.

Comment

Xiaotong Shen, 2000 .

Inference of nonlinear causal effects with GWAS summary data

Xiaotong Shen, W. Pan, Ben Dai, 2022, 2209.08889.

Inference for a Large Directed Acyclic Graph with Unspecified Interventions

Xiaotong Shen, W. Pan, Chunlin Li, 2021, 2110.03805.

Two-level monotonic multistage recommender systems

Xiaotong Shen, Ben Dai, Wei Pan, 2021, Electronic Journal of Statistics.

An iterative algorithm to learn from positive and unlabeled examples

Xiaotong Shen, Shaoli Wang, Qingle Zheng, 2020 .

Inference of nonlinear causal effects with GWAS summary data

Xiaotong Shen, W. Pan, Ben Dai, 2022, 2209.08889.

Reconstruction of a directed acyclic graph with intervention.

Xiaotong Shen, W. Pan, Si Peng, 2020, Electronic journal of statistics.

Coupled Generation

Xiaotong Shen, Ben Dai, W. Wong, 2021, Journal of the American Statistical Association.

Deep Learning-Based Feature Extraction with MRI Data in Neuroimaging Genetics for Alzheimer’s Disease

Xiaotong Shen, W. Pan, M. Fiecas, 2022, bioRxiv.

Data-Adaptive Discriminative Feature Localization with Statistically Guaranteed Interpretation

Xiaotong Shen, Ben Dai, Chunlin Li, 2022, ArXiv.

Discussion of “From Fixed-X to Random-X Regression: Bias-Variance Decompositions, Covariance Penalties, and Prediction Error Estimation”

Xiaotong Shen, Hsin-Cheng Huang, 2020 .

Network-based support vector machine for classification of microarray samples

Wei Pan, Xiaotong Shen, Yanni Zhu, 2009, BMC Bioinformatics.

Integrative and regularized principal component analysis of multiple sources of data

Wei Pan, Xiaotong Shen, Binghui Liu, 2016, Statistics in medicine.

Nonlinear joint latent variable models and integrative tumor subtype discovery

Xiaotong Shen, Binghui Liu, Wei Pan, 2016, Stat. Anal. Data Min..

Fused Multiple Graphical Lasso

Peter Wonka, Sen Yang, Jieping Ye, 2012, SIAM J. Optim..

On High-Dimensional Constrained Maximum Likelihood Inference

Wei Pan, Yunzhang Zhu, Xiaotong Shen, 2020, Journal of the American Statistical Association.

Applying the multi-category learning to multiple video object extraction

Yi Liu, Yuan F. Zheng, Xiaotong Shen, 2008, Pattern Recognit..

Multiple Video Object Extraction Using Multi-Category ψ-Learning

Yi Liu, Yuan F. Zheng, Xiaotong Shen, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

A New Class of Multi-Category Learning for Multiple Video Object Extraction

Yuan F. Zheng, Yi Liu, Xiaotong Shen, 2006 .

Simultaneous pursuit of sparseness and rank structures for matrix decomposition

Jieping Ye, Qi Yan, Xiaotong Shen, 2015, J. Mach. Learn. Res..

Constrained maximum likelihood-based Mendelian randomization robust to both correlated and uncorrelated pleiotropic effects.

Xiaotong Shen, W. Pan, Haoran Xue, 2021, American journal of human genetics.

Testing for association with multiple traits in generalized estimation equations, with application to neuroimaging data

Wei Pan, Zhiyuan Xu, Yiwei Zhang, 2014, NeuroImage.

DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studies.

Xiaotong Shen, W. Pan, Ming Liu, 2023, Biostatistics.

Significance tests of feature relevance for a blackbox learner

Xiaotong Shen, W. Pan, Ben Dai, 2021, IEEE transactions on neural networks and learning systems.

Adaptive tests for association analysis of rare variants

Wei Pan, Xiaotong Shen, Xiaotong Shen, 2011, Genetic epidemiology.

Inferring a directed acyclic graph of phenotypes from GWAS summary statistics

Xiaotong Shen, W. Pan, Tianzhong Yang, 2023, bioRxiv.

A simple convolutional neural network for prediction of enhancer-promoter interactions with DNA sequence data

Wei Pan, Xiaotong Shen, Zhong Zhuang, 2019, Bioinform..

Predictor Network in Penalized Regression with Application to Microarray Data”

Wei Pan, Xiaotong Shen, Benhuai Xie, 2009 .

A NOVEL AND EFFICIENT ALGORITHM FOR DE NOVO DISCOVERY OF MUTATED DRIVER PATHWAYS IN CANCER

Wei Pan, Xiaotong Shen, Binghui Liu, 2017, bioRxiv.

A NOVEL AND EFFICIENT ALGORITHM FOR DE NOVO DISCOVERY OF MUTATED DRIVER PATHWAYS IN CANCER

Pan Wei, Chong Wu, Xiaotong Shen, 2017, bioRxiv.

On Efficient Large Margin Semisupervised Learning: Method and Theory

Wei Pan, Junhui Wang, Xiaotong Shen, 2009, J. Mach. Learn. Res..

Semi-supervised learning via penalized mixture model with application to microarray sample classification

Wei Pan, Xiaotong Shen, Robert P. Hebbel, 2006, Bioinform..

Penalized regression and risk prediction in genome‐wide association studies

Wei Pan, Xiaotong Shen, Erin Austin, 2013, Stat. Anal. Data Min..

On L_1-Norm Multi-class Support Vector Machines

Lifeng Wang, Yuan F. Zheng, Xiaotong Shen, 2006, 2006 5th International Conference on Machine Learning and Applications (ICMLA'06).

Computational Developments of ψ-learning

Xiaotong Shen, Wing Hung Wong, Sijin Liu, 2005, SDM.

A Novel Statistic for Global Association Testing Based on Penalized Regression

Wei Pan, Xiaotong Shen, Xiaotong Shen, 2015, Genetic epidemiology.

Penalized mixtures of factor analyzers with application to clustering high-dimensional microarray data

Wei Pan, Xiaotong Shen, Benhuai Xie, 2010, Bioinform..

Application of deep convolutional neural networks in classification of protein subcellular localization with microscopy images

Wei Pan, Xiaotong Shen, Mengli Xiao, 2019, Genetic epidemiology.

Adaptive Tests for Detecting Gene-Gene and Gene-Environment Interactions

Wei Pan, Xiaotong Shen, Saonli Basu, 2011, Human Heredity.

Adaptive Model Selection and Assessment for Exponential Family Distributions

Xiaotong Shen, Hsin-Cheng Huang, Jimmy Ye, 2004, Technometrics.

Embedding Learning

Xiaotong Shen, Junhui Wang, Ben Dai, 2020, Journal of the American Statistical Association.

A Group-Specific Recommender System

Junhui Wang, Xuan Bi, Xiaotong Shen, 2017 .

AND CONVERGENCE RATES OF SIEVE MLES

W. Wong, Xiaotong Shen, 2016 .

Large Margin Semi-supervised Learning

Junhui Wang, Xiaotong Shen, Xiaotong Shen, 2007, J. Mach. Learn. Res..

Generalization error for multi-class margin classification

Lifeng Wang, Xiaotong Shen, Xiaotong Shen, 2007, 0708.3556.

Sieve likelihood ratio inference on general parameter space

Xiaotong Shen, Jian Shi, Xiaotong Shen, 2005 .

Linear Regression with Current Status Data

Xiaotong Shen, Xiaotong Shen, 2000 .

Random Sieve Likelihood and General Regression Models

Xiaotong Shen, Jian Shi, Wing Hung Wong, 1999 .

Proportional odds regression and sieve maximum likelihood estimation

Xiaotong Shen, Xiaotong Shen, 1998 .

Spatially Adaptive Regression Splines and Accurate Knot Selection Schemes

Xiaotong Shen, Xiaotong Shen, S. Zhou, 2001 .

ESTIMATION OF GENERALIZATION ERROR: RANDOM AND FIXED INPUTS

Xiaotong Shen, Junhui Wang, Xiaotong Shen, 2006 .

Feature grouping and selection over an undirected graph

Jieping Ye, Peter Wonka, Sen Yang, 2012, KDD.

Comparison of statistical tests for group differences in brain functional networks

Wei Pan, Bryon A. Mueller, Junghi Kim, 2014, NeuroImage.

Nonlinear causal discovery with confounders*

Xiaotong Shen, W. Pan, Chunlin Li, 2023, Journal of the American Statistical Association.

Likelihood Ratio Tests for a Large Directed Acyclic Graph

Wei Pan, Chunlin Li, Xiaotong Shen, 2019, Journal of the American Statistical Association.

On constrained and regularized high-dimensional regression

Wei Pan, Yunzhang Zhu, Xiaotong Shen, 2013, Annals of the Institute of Statistical Mathematics.

A Regularization-Based Adaptive Test for High-Dimensional Generalized Linear Models

Xiaotong Shen, Wei Pan, Gongjun Xu, 2020, Journal of machine learning research : JMLR.

A Two-Step Penalized Regression Method with Networked Predictors

Wei Pan, Xiaotong Shen, Chong Luo, 2012, Statistics in biosciences.

Support Vector Machines with Disease-gene-centric Network Penalty for High Dimensional Microarray Data.

Wei Pan, Xiaotong Shen, Yanni Zhu, 2009, Statistics and its interface.

Penalized model-based clustering with cluster-specific diagonal covariance matrices and grouped variables.

Wei Pan, Xiaotong Shen, Benhuai Xie, 2008, Electronic journal of statistics.

Penalized model-based clustering with cluster-specic diagonal covariances and grouped variables

Xiaotong Shen, W Pan, B. Wie, 2008 .

Inference for a Large Directed Acyclic Graph with Unspecified Interventions

Xiaotong Shen, W. Pan, Chunlin Li, 2021, J. Mach. Learn. Res..

Inference for a Large Directed Graphical Model with Interventions

Wei Pan, Chunlin Li, Xiaotong Shen, 2021 .

Causal Inference in Transcriptome-Wide Association Studies with Invalid Instruments and GWAS Summary Data

Xiaotong Shen, W. Pan, Haoran Xue, 2023, Journal of the American Statistical Association.

Data Flush

Xiaotong Shen, Xuan Bi, Rex Shen, 2022, Harvard data science review.

Test Selection with Application to Detecting Disease Association with Multiple SNPs

Wei Pan, Fang Han, Xiaotong Shen, 2009, Human Heredity.

Outcome weighted ψ‐learning for individualized treatment rules

Xiaotong Shen, Wei Pan, Mingyang Liu, 2020, Stat.

Inference After Model Selection

Xiaotong Shen, Hsin-Cheng Huang, Jimmy Ye, 2004 .

A BOOTSTRAP MODEL COMPARISON TEST FOR IDENTIFYING GENES WITH CONTEXT-SPECIFIC PATTERNS OF GENETIC REGULATION

Xiaotong Shen, W. Pan, Ben Dai, 2023, bioRxiv.

Multilayer tensor factorization with applications to recommender systems

Xuan Bi, Xiaotong Shen, Annie Qu, 2017, The Annals of Statistics.

Cluster analysis: unsupervised learning via supervised learning with a non-convex penalty

Wei Pan, Xiaotong Shen, Binghui Liu, 2013, J. Mach. Learn. Res..

Editorial: On the interface of statistics and machine learning

Andreas Christmann, Xiaotong Shen, Xiaotong Shen, 2009 .

Large Margin Hierarchical Classification with Mutually Exclusive Class Membership

Wei Pan, Xiaotong Shen, Huixin Wang, 2011, J. Mach. Learn. Res..

Generalized degrees of freedom and adaptive model selection in linear mixed-effects models

Bo Zhang, Xiaotong Shen, Sunni L. Mumford, 2012, Comput. Stat. Data Anal..

Collaborative Multilabel Classification

Yunzhang Zhu, Hui Jiang, Wing Hung Wong, 2021 .

Absolute Fused Lasso and Its Application to Genome-Wide Association Studies

Jieping Ye, Jun Liu, Tao Yang, 2016, KDD.

Efficient nonconvex sparse group feature selection via continuous and discrete optimization

Jieping Ye, Xiaotong Shen, Shuo Xiang, 2015, Artif. Intell..

Using GWAS summary data to impute traits for genotyped individuals

Xiaotong Shen, W. Pan, Zhaotong Lin, 2023, HGG advances.

Multilabel Classification With Multivariate Time Series Predictors

Yuezhang Che, Yunzhang Zhu, Xiaotong Shen, 2020, IEEE Transactions on Signal Processing.

Simultaneous supervised clustering and feature selection over a graph.

Wei Pan, Xiaotong Shen, Hsin-Cheng Huang, 2012, Biometrika.

Adaptive model selection and assessment for exponential family models

Xiaotong Shen, Hsin-Cheng Huang, J. Ye, 2004 .

Deep causal feature extraction and inference with neuroimaging genetic data

Xiaotong Shen, W. Pan, Lin Zhang, 2023, Statistics in medicine.

Scalable Collaborative Ranking for Personalized Prediction

Junhui Wang, Xiaotong Shen, Annie Qu, 2020, Journal of the American Statistical Association.

Smooth neighborhood recommender systems

Junhui Wang, Xiaotong Shen, Annie Qu, 2019, J. Mach. Learn. Res..

Classification With Unstructured Predictors and an Application to Sentiment Analysis

Yiwen Sun, Xiaotong Shen, Annie Qu, 2016 .

Prediction and Discovery

Xiaotong Shen, Joseph S. Verducci, John Lafferty, 2007 .

Personalized Prediction and Sparsity Pursuit in Latent Factor Models

Xiaotong Shen, Yunzhang Zhu, Changqing Ye, 2016 .

Network‐Based Penalized Regression With Application to Genomic Data

Wei Pan, Xiaotong Shen, Sunkyung Kim, 2013, Biometrics.

Inference of causal metabolite networks in the presence of invalid instrumental variables with GWAS summary data

Xiaotong Shen, W. Pan, Zhaotong Lin, 2023, Genetic epidemiology.

Adaptive regularization using the entire solution surface.

C. Geyer, Xiaotong Shen, C J Geyer, 2009, Biometrika.

Data-Adaptive Discriminative Feature Localization with Statistically Guaranteed Interpretation

Xiaotong Shen, Ben Dai, In, 2022, The Annals of Applied Statistics.

Maximum Likelihood Estimation Over Directed Acyclic Gaussian Graphs

Wei Pan, Xiaotong Shen, Yiping Yuan, 2012, Stat. Anal. Data Min..

Penalized regression approaches to testing for quantitative trait-rare variant association

Wei Pan, Xiaotong Shen, Sunkyung Kim, 2014, Front. Genet..

Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty Quantification

Xiaotong Shen, Yifei Liu, Rex Shen, 2023, ArXiv.

Inference of nonlinear causal effects with GWAS summary data

Xiaotong Shen, W. Pan, Ben Dai, 2022, 2209.08889.

Likelihood-Based Selection and Sharp Parameter Estimation

Xiaotong Shen, W. Pan, Yunzhang Zhu, 2012, Journal of the American Statistical Association.

A Two-Step Penalized Regression Method with Networked Predictors

Xiaotong Shen, W. Pan, Chong Luo, 2012, Statistics in Biosciences.

Workshop on current challenges in statistical learning (11w5051)

Xiaotong Shen, H. Chipman, Mu Zhu, 2011 .

LARGE MULTIPLE GRAPHICAL MODEL INFERENCE VIA BOOTSTRAP.

Yongli Zhang, Shaoli Wang, Xiaotong Shen, 2020, Statistica Sinica.

Maximum Likelihood Estimation Over Directed Acyclic Gaussian Graphs

Xiaotong Shen, W. Pan, Yiping Yuan, 2012, Stat. Anal. Data Min..

Statistica Sinica Preprint No : SS-2017-0141 Title Large Multiple Graphical Model Inference via Bootstrap

Xiaotong Shen, Shaoli Wang, Yongli Zhang, 2018 .

Word segmentation in Chinese language processing

Junhui Wang, Xiaotong Shen, Annie Qu, 2017 .

Model selection procedure for high‐dimensional data

Xiaotong Shen, Yongli Zhang, 2010, Stat. Anal. Data Min..

Supplement to “Personalized Prediction and Sparsity Pursuit in Latent Factor Models”

Xiaotong Shen, Yunzhang Zhu, Changqing Ye, 2014 .

Nonlinear joint latent variable models and integrative tumor subtype discovery

Xiaotong Shen, W. Pan, Binghui Liu, 2016, Stat. Anal. Data Min..

Significance Tests of Feature Relevance for a Black-Box Learner

Xiaotong Shen, W. Pan, Ben Dai, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Classification With Unstructured Predictors and an Application to Sentiment Analysis

Xiaotong Shen, A. Qu, Junhui Wang, 2016 .

Bayesian variable selection in regression with networked predictors

Wei Pan, Xiaotong Shen, F Tai, 2010 .

Semi-supervised spectral clustering with application to detect population stratification

Wei Pan, Xiaotong Shen, Binghui Liu, 2013, Front. Genet..