Publications

• * indicates that authors are listed in alphabetical order.
• † indicates corresponding author.
• § indicates student author.

Papers

• Cai, Z., Li, S., Xia, X.*, Zhang, L. (2026+) Differentially private estimation and inference in high-dimensional regression with FDR control. [Accepted at Journal of Machine Learning Research.]

• Xia, X., Zhang, L., Cai, Z. (2025) Differentially private sliced inverse regression: minimax optimality and algorithm, Journal of the American Statistical Association. [Winner of the 2024 IMS Hannan Graduate Student Travel Award.]

• Xia, X., Zhang, X., Fuller, W. (2024) Estimation for nearest neighbor imputed survey data, Journal of Survey Statistics and Methodology.

• Xia, X., Cai, Z. (2023) Adaptive false discovery rate control with privacy guarantee, Journal of Machine Learning Research.

• Xia, X., Zhang, L., Cai, Z. (2025) Statistical inference for differentially private stochastic gradient descent. [Major revision at Journal of the American Statistical Association.]

• Xia, X, Qiu, Y. (2024) Multiply robust inference of average treatment effects by high-dimensional empirical likelihood. [Major revision at Biometrics.]

Working Papers

• Qiu, Y., Tao, J., Xia, X.* (2024) Inference of heterogeneous quantile treatment effects using observational data with high-dimensional covariates.

• Xia, X., Xia, Z., Zhang, L., Cai, Z. (2026) A statistical framework for alignment with biased AI feedback.

• Xia, X, Li, C., Li, C. (2024) Learning a directed acyclic graph with additive heteroscedastic errors.