Lin, Shao-Bo

8 publications

JMLR 2025 Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos Shao-Bo Lin, Xiaotong Liu, Di Wang, Hai Zhang, Ding-Xuan Zhou

JMLR 2022 Nystrom Regularization for Time Series Forecasting Zirui Sun, Mingwei Dai, Yao Wang, Shao-Bo Lin

JMLR 2021 On ADMM in Deep Learning: Convergence and Saturation-Avoidance Jinshan Zeng, Shao-Bo Lin, Yuan Yao, Ding-Xuan Zhou

JMLR 2020 Distributed Kernel Ridge Regression with Communications Shao-Bo Lin, Di Wang, Ding-Xuan Zhou

JMLR 2019 Boosted Kernel Ridge Regression: Optimal Learning Rates and Early Stopping Shao-Bo Lin, Yunwen Lei, Ding-Xuan Zhou

IJCAI 2018 Generalization Bounds for Regularized Pairwise Learning Yunwen Lei, Shao-Bo Lin, Ke Tang

JMLR 2017 Distributed Learning with Regularized Least Squares Shao-Bo Lin, Xin Guo, Ding-Xuan Zhou

JMLR 2017 Distributed Semi-Supervised Learning with Kernel Ridge Regression Xiangyu Chang, Shao-Bo Lin, Ding-Xuan Zhou