3 papers
stat.ME2026
Ridge Boosting is Both Robust and Efficient
David Bruns-Smith, Zhongming Xie, Avi Feller
Estimators in statistics and machine learning must typically trade off between efficiency, having low variance for a fixed target, and distributional robustness, such as multiaccur…
stat.ML2026
Efficient Subgroup Analysis via Optimal Trees with Global Parameter Fusion
Zhongming Xie, Joseph Giorgio, Jingshen Wang
Identifying and making statistical inferences on differential treatment effects (commonly known as subgroup analysis in clinical research) is central to precision health. Subgroup…
stat.ME2025
Winner's Curse Free Robust Mendelian Randomization with Summary Data
Zhongming Xie, Wanheng Zhang, Jingshen Wang +1
In the past decade, the increased availability of genome-wide association studies summary data has popularized Mendelian Randomization (MR) for conducting causal inference. MR anal…