Publications

You can also find my articles on my Google Scholar profile.

Papers

Xia, X., Zhang, L., Cai, Z. (2024) Differentially private sliced inverse regression: minimax optimality and algorithm. [Winner of the 2024 IMS Hannan Graduate Student Travel Award. Accepted at Journal of the American Statistical Association.]
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.
Cai, Z., Li, S., Xia, X.*, Zhang, L. (2023) Private estimation and inference in high-dimensional regression with FDR control. [R&R at 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.]

Qiu, Y., Tao, J., Xia, X.* (2024) Inference of Heterogeneous Quantile Treatment Effects Using Observational Data with High-Dimensional Covariates.
Xia, X, Qiu, Y. (2024) Multiply Robust Inference of Average Treatment Effects by High-dimensional Empirical Likelihood.
Xia, X, Li, C., Li, C. (2024) Learning a directed acyclic graph with additive heteroscedastic errors.