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stat.ME2025
Multiply Robust Inference of Average Treatment Effects by High-dimensional Empirical Likelihood
Xintao Xia, Yumou Qiu
In this paper, we develop a multiply robust inference procedure of the average treatment effect (ATE) for data with high-dimensional covariates. We consider the case where it is di…
stat.ML2025
Statistical Inference for Differentially Private Stochastic Gradient Descent
Xintao Xia, Linjun Zhang, Zhanrui Cai
Privacy preservation in machine learning, particularly through Differentially Private Stochastic Gradient Descent (DP-SGD), is critical for sensitive data analysis. However, existi…