Zheng-Chu Guo

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 19

Top Topics

Generalization Bounds

Learning Algorithm

Top Venues

J. Mach. Learn. Res.

Adv. Comput. Math.

Publications

Yuan Mao, Lei Shi, Zheng-Chu Guo
Coefficient-based regularized distribution regression. J. Approx. Theory 297 (2024)
Yuan Mao, Zheng-Chu Guo
Online regularized learning algorithm for functional data. J. Complex. 82 (2024)
Dinghao Cao, Zheng-Chu Guo, Lei Shi
Stochastic Gradient Descent for Two-layer Neural Networks. CoRR (2024)
Zheng-Chu Guo, Andreas Christmann, Lei Shi
Optimality of Robust Online Learning. CoRR (2023)
Xin Guo, Zheng-Chu Guo, Lei Shi
Capacity dependent analysis for functional online learning algorithms. CoRR (2022)
Yuan Mao, Lei Shi, Zheng-Chu Guo
Coefficient-based Regularized Distribution Regression. CoRR (2022)
Yuan Mao, Zheng-Chu Guo
Online Regularized Learning Algorithm for Functional Data. CoRR (2022)
Zheng-Chu Guo, Lei Shi, Shao-Bo Lin
Realizing Data Features by Deep Nets. IEEE Trans. Neural Networks Learn. Syst. 31 (10) (2020)
Zhiying Fang, Zheng-Chu Guo, Ding-Xuan Zhou
Optimal learning rates for distribution regression. J. Complex. 56 (2020)
Zheng-Chu Guo, Lei Shi
Fast and strong convergence of online learning algorithms. Adv. Comput. Math. 45 (5) (2019)
Zheng-Chu Guo, Lei Shi, Shao-Bo Lin
Realizing data features by deep nets. CoRR (2019)
Zheng-Chu Guo, Yiming Ying, Ding-Xuan Zhou
Online regularized learning with pairwise loss functions. Adv. Comput. Math. 43 (1) (2017)
Zheng-Chu Guo, Lei Shi, Qiang Wu
Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network. J. Mach. Learn. Res. 18 (2017)
Yunwen Lei, Lei Shi, Zheng-Chu Guo
Convergence of Unregularized Online Learning Algorithms. CoRR (2017)
Zheng-Chu Guo, Lei Shi
Fast and Strong Convergence of Online Learning Algorithms. CoRR (2017)
Zheng-Chu Guo, Lei Shi, Qiang Wu
Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network. CoRR (2017)
Yuyi Wang, Zheng-Chu Guo, Jan Ramon
Learning from Networked Examples. ALT (2017)
Yunwen Lei, Lei Shi, Zheng-Chu Guo
Convergence of Unregularized Online Learning Algorithms. J. Mach. Learn. Res. 18 (2017)
Qiong Cao, Zheng-Chu Guo, Yiming Ying
Generalization bounds for metric and similarity learning. Mach. Learn. 102 (1) (2016)
Zheng-Chu Guo, Yiming Ying
Guaranteed Classification via Regularized Similarity Learning. Neural Comput. 26 (3) (2014)
Yuyi Wang, Jan Ramon, Zheng-Chu Guo
Learning from networked examples. CoRR (2014)
Yuyi Wang, Jan Ramon, Zheng-Chu Guo
Learning from networked examples in a k-partite graph. CoRR (2013)
Zheng-Chu Guo, Ding-Xuan Zhou
Concentration estimates for learning with unbounded sampling. Adv. Comput. Math. 38 (1) (2013)
Zheng-Chu Guo, Lei Shi
Learning with coefficient-based regularization and ℓ1 -penalty. Adv. Comput. Math. 39 (3-4) (2013)
Zheng-Chu Guo, Yiming Ying
Guaranteed Classification via Regularized Similarity Learning. CoRR (2013)
Qiong Cao, Zheng-Chu Guo, Yiming Ying
Generalization Bounds for Metric and Similarity Learning CoRR (2012)
Zheng-Chu Guo, Cheng Wang
Online regression with unbounded sampling. Int. J. Comput. Math. 88 (14) (2011)
Zheng-Chu Guo, Lei Shi
Classification with non-i.i.d. sampling. Math. Comput. Model. 54 (5-6) (2011)