top of page

​​

Learning and Uncertainty Quantification

[Kernel methods, Uncertainty quantification, Causal machine learning]

(Note:     students under my supervision;  * corresponding author.)

​​

Causal machine learning

​

Xiaowu Dai and Lexin Li.

Journal of the American Statistical Association: Theory and Methods (JASA), 2022.

 

 

Uncertainty quantification

​​

  • Discussion: "Estimating means of bounded random variables by betting" by Waudby-Smith and Ramdas. [journal][reprint​][preprint][code]

Jiayi Li, Yuantong Li, and Xiaowu Dai*.

Journal of the Royal Statistical Society Series B: Statistical Methodology (JRSSB), 2023.

​

  • Online auction design using distribution-free uncertainty quantification with applications to e-commerce. [pdf][code][older versioncode]

Jiale Han and Xiaowu Dai*.   

Under R&R at Journal of the American Statistical Association (JASA), 2025.

​

  • Selection and estimation optimality in high dimensions with the TWIN penalty. [pdf]

Xiaowu Dai and Jared Huling. 

Preprint, 2023.​​

​​

 

Kernel methods​

​

Xiaowu Dai*, Xiang Lyu, and Lexin Li.

Journal of the American Statistical Association: Theory and Methods (JASA), 2023.

​

  • Nonparametric estimation via partial derivatives. [journal​][preprint]

Xiaowu Dai*

Journal of the Royal Statistical Society Series B: Statistical Methodology (JRSSB), 2024.

​

  • Another look at statistical calibration: A non-asymptotic theory and prediction-oriented optimality. [pdf]

Xiaowu Dai and Peter Chien. 

Preprint, 2023.

​

  • Multi-layer kernel machines: Fast and optimal nonparametric regression with uncertainty quantification. [pdf][code][PyPI]

Xiaowu Dai* and Huiying Zhong.

Preprint, 2024.

​

  • Variance reduction via resampling and experience replay. [pdf][code]

Jiale Han, Xiaowu Dai*, and Yuhua Zhu.

Preprint, 2025.

​

  • Effect decomposition of functional-output computer experiments via orthogonal additive Gaussian processes.

Yu Tan, Yongxiang Li, Xiaowu Dai, and Kwok-Leung Tsui.

Preprint, 2025.

© 2025 Xiaowu Dai
bottom of page