2 papers
stat.ML2026
High-Dimensional Differentially Private Quantile Regression: Distributed Estimation and Statistical Inference
Ziliang Shen, Caixing Wang, Shaoli Wang +1
With the development of big data and machine learning, privacy concerns have become increasingly critical, especially when handling heterogeneous datasets containing sensitive pers…
stat.ML2025
Inertial Quadratic Majorization Minimization with Application to Kernel Regularized Learning
Qiang Heng, Caixing Wang
First-order methods in convex optimization offer low per-iteration cost but often suffer from slow convergence, while second-order methods achieve fast local convergence at the exp…