Online regression with unbounded sampling. - Zheng-Chu Guo; Cheng Wang (Int. J. Comput. Math., 2011)

Classification with non-i.i.d. sampling. - Zheng-Chu Guo; Lei Shi 010 (Math. Comput. Model., 2011)

Learning with coefficient-based regularization and ℓ1 -penalty. - Zheng-Chu Guo; Lei Shi 010 (Adv. Comput. Math., 2013)

Concentration estimates for learning with unbounded sampling. - Zheng-Chu Guo; Ding-Xuan Zhou (Adv. Comput. Math., 2013)

Learning from networked examples in a k-partite graph. - Yuyi Wang 001; Jan Ramon; Zheng-Chu Guo (CoRR, 2013)

Guaranteed Classification via Regularized Similarity Learning. - Zheng-Chu Guo; Yiming Ying (Neural Comput., 2014)

Generalization bounds for metric and similarity learning. - Qiong Cao; Zheng-Chu Guo; Yiming Ying (Mach. Learn., 2016)

Learning from Networked Examples. - Yuyi Wang 001; Zheng-Chu Guo; Jan Ramon (ALT, 2017)

Online regularized learning with pairwise loss functions. - Zheng-Chu Guo; Yiming Ying; Ding-Xuan Zhou (Adv. Comput. Math., 2017)

Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network. - Zheng-Chu Guo; Lei Shi 010; Qiang Wu 003 (J. Mach. Learn. Res., 2017)

Convergence of Unregularized Online Learning Algorithms. - Yunwen Lei; Lei Shi 010; Zheng-Chu Guo (J. Mach. Learn. Res., 2017)

Fast and strong convergence of online learning algorithms. - Zheng-Chu Guo; Lei Shi 010 (Adv. Comput. Math., 2019)

Optimal learning rates for distribution regression. - Zhiying Fang; Zheng-Chu Guo; Ding-Xuan Zhou (J. Complex., 2020)

Realizing Data Features by Deep Nets. - Zheng-Chu Guo; Lei Shi 010; Shao-Bo Lin (IEEE Trans. Neural Networks Learn. Syst., 2020)

Capacity dependent analysis for functional online learning algorithms. - Xin Guo 003; Zheng-Chu Guo; Lei Shi 010 (CoRR, 2022)

Stochastic Gradient Descent for Two-layer Neural Networks. - Dinghao Cao; Zheng-Chu Guo; Lei Shi (CoRR, 2024)

Online regularized learning algorithm for functional data. - Yuan Mao; Zheng-Chu Guo (J. Complex., 2024)

Coefficient-based regularized distribution regression. - Yuan Mao; Lei Shi 010; Zheng-Chu Guo (J. Approx. Theory, 2024)

Optimality of Robust Online Learning. - Zheng-Chu Guo; Andreas Christmann; Lei Shi 010 (Found. Comput. Math., 2024)

Spectral Algorithms under Covariate Shift. - Jun Fan; Zheng-Chu Guo; Lei Shi (CoRR, 2025)