郭正初

郭正初，男，博士，浙江大學數學科學學院教授。

基本介紹

• 中文名：郭正初
• 畢業院校：香港城市大學
• 學位/學歷：博士
• 職業：教師
• 專業方向：學習理論與機器學習
• 任職院校：浙江大學數學科學學院

研究方向

學習理論與機器學習

人物經歷

2011年於中山大學和香港城市大學取得博士學位

畢業後在香港城市大學和英國埃克塞特大學從事博士後研究工作

於2013年8月加入浙江大學數學科學學院。

學術成果

[20] Zheng-Chu Guo, Lei Shi and Shao-Bo Lin, Realizing data features by deep nets,IEEE Transactions on Neural Networks and Learning Systems, to appear, 2019.

[19] Zhiying Fang, Zheng-Chu Guo and Ding-Xuan Zhou, Optimal learning rates for distribution regression.Journal of Complexity, to appear, 2019

[18] Zheng-Chu Guo and Lei Shi, Fast and Strong Convergence of Online Learning Algorithms.Advances in Computational Mathematics, to appear, 2019.

[17] Zheng-Chu Guo, Shaobo Lin and Lei Shi, Distributed learning with multi-penalty regularization,Applied and Computational Harmonic Analysis, 46:478-499, 2019.

[16] Zheng-Chu Guo, Ting Hu and Lei Shi, Gradient descent for robust kernel based regression.Inverse Problems, 34, 065009(29pp)，2018.

[15] Yunwen Lei, Lei Shi,and Zheng-Chu Guo, Convergence of Unregularized Online Learning Algorithms,Journal of Machine Learning Research, 18(171), 1-33, 2018.

[14]Yuyi Wang, Zheng-Chu Guo and Jan Ramon, Learning from Networked Examples,Proceedings of Machine Learning Research,76:1–26, 2017.

[13] Zheng-Chu Guo, Lei Shi, Qiang Wu; Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network,Journal of Machine Learning Research, 18(118):1--25, 2017.

[12] Zheng-Chu Guo and Lei Shi, Optimal Rates for Coefficient-based Regularized Regression,Applied and Computational Harmonic Analysis, to appear, 1-41, 2017.

[11] Zheng-Chu Guo, Shaobo Lin and Ding-Xuan Zhou, Learning Theory of Distributed Spectral Algorithms,Inverse Problems, 33(7) , 074009(29pp),2017.

[10] Zheng-Chu Guo, Dao-Hong Xiang, Xin Guo and Ding-Xuan Zhou, Thresholded Spectral Algorithms for Sparse Approximations,Analysis and Applications,15( 2017):433-455.

[9] Zheng-Chu Guo Yiming Ying and Ding-Xuan Zhou, Online Regularized Learning with Pairwise Loss Functions.Advances in Computational Mathematics, 43(2017):127--150.

[8] Qiong Cao, Zheng-Chu Guo and Yiming Ying, Generalization Bounds for Metric and Similarity Learning.Machine Learning, 102(2016):115--132.

[7] Zheng-Chu Guo and Yiming Ying, Guaranteed Classification via Regularised Similarity Learning.Neural Computation,26(2014): 497-- 522.

[6] Yuyi Wang, Jan Ramon and Zheng-Chu Guo, Learning from Networked Examples in a k-partite Graph.French Conference on Machine Learning, 2013.

[5] Zheng-Chu Guo and Lei Shi, Learning with Coefficient-based Regularization and l^1-penalty.Advances in Computational Mathematics. 39(2013): 493--510.

[4] Zheng-Chu Guo and Ding-Xuan Zhou, Concentration Estimates for Learning with Unbounded Sampling.Advances in Computational Mathematics. 38(2013): 207--223.

[3] Cheng Wang and Zheng-Chu Guo, ERM Learning Algorithm for Multi-class Classification.Applicable Analysis. 7(2012): 2339--1349.

[2] Zheng-Chu Guo and Cheng Wang, Online Regression with Unbounded Sampling.International Journal of Computer Mathematics. 88(2011): 2936--2941.

[1] Zheng-Chu Guo and Lei Shi, Classification with Non-i.i.d Sampling.Mathematical and Computer Modelling. 54(2011): 1347--1364.

主要貢獻

目前主持一項浙江省傑出青年基金，參與一項國家自然科學基金重點項目。