Wang, Caixing

5 publications

JMLR 2024 Deep Nonparametric Quantile Regression Under Covariate Shift Xingdong Feng, Xin He, Yuling Jiao, Lican Kang, Caixing Wang

ICML 2024 Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery Caixing Wang, Ziliang Shen

ICML 2024 Optimal Kernel Quantile Learning with Random Features Caixing Wang, Xingdong Feng

ICML 2024 Towards Theoretical Understanding of Learning Large-Scale Dependent Data via Random Features Chao Wang, Xin Bing, Xin He, Caixing Wang

NeurIPS 2023 Towards a Unified Analysis of Kernel-Based Methods Under Covariate Shift Xingdong Feng, Xin He, Caixing Wang, Chao Wang, Jingnan Zhang