Research

• Asymptotics of regularized logistic regression based on catalytic priors. Ongoing work.
  Weihao Li, Dongming Huang
• High-dimensional inference on single index models via sliced inverse regression. Ongoing work.
  Weixuan Yuan, Dongming Huang
• The Optimality of Kernel Classifiers in Sobolev Space. ICLR 2024. PDF, arxiv
  Jianfa Lai, Zhifan Li, Dongming Huang, Qian Lin
• Bayesian Inference on Cox Regression Models Using Catalytic Prior Distributions. Submitted. arxiv
  Weihao Li, Dongming Huang
• Hypothesis Testing in Gaussian Graphical Models: Novel Goodness-of-Fit Tests and Conditional Randomization Tests. Submitted. arxiv
  Xiaotong Lin, Fangqiao Tian, Dongming Huang
• On the Optimality of Functional Sliced Inverse Regression. PDF
  Rui Chen, Songtao Tian, Dongming Huang, Qian Lin, Jun S. Liu
• Sliced Inverse Regression with Large Structural Ddimensions. Submitted. PDF
  Dongming Huang, Songtao Tian, Qian Lin
• Catalytic Priors: Using Synthetic Data to Specify Prior Distributions in Bayesian Analysis. Statistical Science, to appear.  arXiv
  Dongming Huang, Feicheng Wang, Donald B. Rubin, S. C. Kou
• On the Optimality of Sliced Inverse Regression in High Dimensions. Annals of Statistics, 2021. link
  Qian Lin, Xinran Li, Dongming Huang, Jun S. Liu
• Relaxing the Assumptions of Knockoffs by Conditioning. Annals of Statistics, 2020. PDF, arXiv, link
  Dongming Huang, Lucas Janson
• Catalytic Prior Distributions with Application to Generalized Linear Models. Proceedings of the National Academy of Science, 2020. PDF, link
  Dongming Huang, Nathan Stein, Donald B. Rubin, S. C. Kou