Caixing Wang

According to our database, Caixing Wang authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Inertial Quadratic Majorization Minimization with Application to Kernel Regularized Learning.

Qiang Heng, Caixing Wang

CoRR, July, 2025

2024

Communication-Efficient Nonparametric Quantile Regression via Random Features.

Caixing Wang, Tao Li, Xinyi Zhang, Xingdong Feng, Xin He

J. Comput. Graph. Stat., 2024

Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery.

Caixing Wang, Ziliang Shen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Optimal Kernel Quantile Learning with Random Features.

Caixing Wang, Xingdong Feng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features.

Chao Wang, Xin Bing, Xin He, Caixing Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Minimax Optimal Transfer Learning for Kernel-based Nonparametric Regression.

Chao Wang, Caixing Wang, Xin He, Xingdong Feng

CoRR, 2023

Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift.

Xingdong Feng, Xin He, Caixing Wang, Chao Wang, Jingnan Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023