Zheng-Chu Guo

35 papers B 1Journal 34
YearRankTypeTitle / Venue / Authors
2026 J jnl
Unbounded Density Ratio Estimation and Its Application to Covariate Shift Adaptation.
CoRR
Ren-Rui Liu, Jun Fan, Lei Shi, Zheng-Chu Guo
2025 J jnl
Online learning algorithms tackling covariate shift.
Adv. Comput. Math.
Zheng-Chu Guo, Lei Shi
2025 J jnl
Optimal Rates for Generalization of Gradient Descent for Deep ReLU Classification.
CoRR
Yuanfan Li, Yunwen Lei, Zheng-Chu Guo, Yiming Ying
2025 J jnl
Robust kernel-based gradient descent with random features.
Adv. Comput. Math.
Qi Hong, Zheng-Chu Guo
2025 J jnl
Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift.
CoRR
Ren-Rui Liu, Zheng-Chu Guo
2025 J jnl
Spectral Algorithms under Covariate Shift.
CoRR
Jun Fan, Zheng-Chu Guo, Lei Shi
2024 J jnl
Coefficient-based regularized distribution regression.
J. Approx. Theory
Yuan Mao, Lei Shi, Zheng-Chu Guo
2024 J jnl
Online regularized learning algorithm for functional data.
J. Complex.
Yuan Mao, Zheng-Chu Guo
2024 J jnl
Optimality of Robust Online Learning.
Found. Comput. Math.
Zheng-Chu Guo, Andreas Christmann, Lei Shi
2024 J jnl
Stochastic Gradient Descent for Two-layer Neural Networks.
CoRR
Dinghao Cao, Zheng-Chu Guo, Lei Shi
2023 J jnl
Optimality of Robust Online Learning.
CoRR
Zheng-Chu Guo, Andreas Christmann, Lei Shi
2022 J jnl
Capacity dependent analysis for functional online learning algorithms.
CoRR
Xin Guo, Zheng-Chu Guo, Lei Shi
2022 J jnl
Coefficient-based Regularized Distribution Regression.
CoRR
Yuan Mao, Lei Shi, Zheng-Chu Guo
2022 J jnl
Online Regularized Learning Algorithm for Functional Data.
CoRR
Yuan Mao, Zheng-Chu Guo
2020 J jnl
Optimal learning rates for distribution regression.
J. Complex.
Zhiying Fang, Zheng-Chu Guo, Ding-Xuan Zhou
2020 J jnl
Realizing Data Features by Deep Nets.
IEEE Trans. Neural Networks Learn. Syst.
Zheng-Chu Guo, Lei Shi, Shao-Bo Lin
2019 J jnl
Fast and strong convergence of online learning algorithms.
Adv. Comput. Math.
Zheng-Chu Guo, Lei Shi
2019 J jnl
Realizing data features by deep nets.
CoRR
Zheng-Chu Guo, Lei Shi, Shao-Bo Lin
2017 J jnl
Convergence of Unregularized Online Learning Algorithms.
CoRR
Yunwen Lei, Lei Shi, Zheng-Chu Guo
2017 J jnl
Convergence of Unregularized Online Learning Algorithms.
J. Mach. Learn. Res.
Yunwen Lei, Lei Shi, Zheng-Chu Guo
2017 J jnl
Fast and Strong Convergence of Online Learning Algorithms.
CoRR
Zheng-Chu Guo, Lei Shi
2017 J jnl
Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network.
CoRR
Zheng-Chu Guo, Lei Shi, Qiang Wu
2017 J jnl
Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network.
J. Mach. Learn. Res.
Zheng-Chu Guo, Lei Shi, Qiang Wu
2017 B conf
Learning from Networked Examples.
ALT
Yuyi Wang, Zheng-Chu Guo, Jan Ramon
2017 J jnl
Online regularized learning with pairwise loss functions.
Adv. Comput. Math.
Zheng-Chu Guo, Yiming Ying, Ding-Xuan Zhou
2016 J jnl
Generalization bounds for metric and similarity learning.
Mach. Learn.
Qiong Cao, Zheng-Chu Guo, Yiming Ying
2014 J jnl
Guaranteed Classification via Regularized Similarity Learning.
Neural Comput.
Zheng-Chu Guo, Yiming Ying
2014 J jnl
Learning from networked examples.
CoRR
Yuyi Wang, Jan Ramon, Zheng-Chu Guo
2013 J jnl
Concentration estimates for learning with unbounded sampling.
Adv. Comput. Math.
Zheng-Chu Guo, Ding-Xuan Zhou
2013 J jnl
Guaranteed Classification via Regularized Similarity Learning.
CoRR
Zheng-Chu Guo, Yiming Ying
2013 J jnl
Learning from networked examples in a k-partite graph.
CoRR
Yuyi Wang, Jan Ramon, Zheng-Chu Guo
2013 J jnl
Learning with coefficient-based regularization and ℓ1 -penalty.
Adv. Comput. Math.
Zheng-Chu Guo, Lei Shi
2012 J jnl
Generalization Bounds for Metric and Similarity Learning
CoRR
Qiong Cao, Zheng-Chu Guo, Yiming Ying
2011 J jnl
Classification with non-i.i.d. sampling.
Math. Comput. Model.
Zheng-Chu Guo, Lei Shi
2011 J jnl
Online regression with unbounded sampling.
Int. J. Comput. Math.
Zheng-Chu Guo, Cheng Wang