2 papers
stat.ME2026
Statistical Inference for Smoothed Support Vector Machines in High Dimensions: From Offline to Online Data
Shuya Zhou, Junwen Xia, Jingxiao Zhang
High-dimensional classification problems often rely on the Lasso-penalized linear Support Vector Machines (SVMs). However, the double non-smoothness induced by the hinge loss and L…
stat.ME2025
Scalable and Distributed Individualized Treatment Rules for Massive Datasets
Nan Qiao, Wangcheng Li, Jingxiao Zhang +1
Synthesizing information from multiple data sources is crucial for constructing accurate individualized treatment rules (ITRs). However, privacy concerns often present significant…