Xiaotong T Shen

• Educational Background & Specialties
• Publications
• Activities
• Awards
• Courses

Educational Background & Specialties

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Educational Background

• Ph.D.: Statistics, University of Chicago, 1991

Specialties

• Machine learning and Data Science
• Generative Modeling, Machine Intelligence, Unstructured Data
• Statistical Applications in Engineering and Health Science
• Nonparametric and Semiparametric Statistics

Publications

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Publications

•  Dai, B., Shen, X., and Pan, W. (2023). Significance Tests of Feature Relevance for a Black-Box Learner.IEEE Transactions on Neural Networks and Learning Systems. 1-14.

• Bi, X. and Shen, X. (2023). Distribution Invariant Differential Privacy.   Journal of Economics Theory. 235(2), 444--453.

• Pan, W., and Shen, X.  (2007). Penalized Model--based Clustering with Application to Variable Selection. The Journal of Machine Learning Research. 8, 1145--1164.

• Shen, X., and Wong, W. H. (1994). Convergence rate of sieve estimates. The Annals of Statistics, 22, 580--615

• Chen, L.,  Li, C., Shen, X., and Pan, W. (2023). Discovery and Inference of a Causal Network with Hidden Confounding. Journal of American Statistical Association. 2023, 1-27.

Activities

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Activities

Professional

• Chair, the American Statistical Association’s Section on Statistical Learning and Data Science 2012 -
• Conference Associate Chair, the 2023 Joint Statistical Meeting 2023
• Journal Editing: Co-Editor: Statistica Sinica, 2020-2023;Action Editor: Journal of Machine Learning Research, since 2007;Associate Editor: Journal of American Statistical Association, since 2006;Associate Editor: Statistical Surveys, since 2006.Past editorial boards: The Annals of Statistics, Electric Journal of Statistics, Journal of Computational and Graphical Statistics. . 2006 - present

Awards

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Awards

• Scholar of the College, College of Liberal Arts, University of Minnesota, 2012
• Fellow, American Association for the Advancement of Science, 2011
• American Statistical Association fellow, 2006
• Elected Member, International Statistical Institute, 2006
• Institute of Mathematical Statistics fellow, 2004
• The Best Paper Award, the International Biometric Society, 2012
• ICSA Distinguished Achievement Award, 2022

Courses

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Courses

• Advanced Topics on Machine Learning and Data Science