2 papers
stat.ME2025
Versatile Differentially Private Learning for General Loss Functions
Qilong Lu, Songxi Chen, Yumou Qiu
This paper aims to provide a versatile privacy-preserving release mechanism along with a unified approach for subsequent parameter estimation and statistical inference. We propose…
stat.ME2024
Transfer Learning with General Estimating Equations
Han Yan, Song Xi Chen
We consider statistical inference for parameters defined by general estimating equations under the covariate shift transfer learning. Different from the commonly used density ratio…