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2020 – today
- 2024
[j14]Yuan Mao, Lei Shi, Zheng-Chu Guo:
Coefficient-based regularized distribution regression. J. Approx. Theory 297: 105995 (2024)- [j13]Yuan Mao, Zheng-Chu Guo:
Online regularized learning algorithm for functional data. J. Complex. 82: 101825 (2024) - [i13]Dinghao Cao, Zheng-Chu Guo, Lei Shi:
Stochastic Gradient Descent for Two-layer Neural Networks. CoRR abs/2407.07670 (2024) - 2023
- [i12]Zheng-Chu Guo, Andreas Christmann, Lei Shi:
Optimality of Robust Online Learning. CoRR abs/2304.10060 (2023) - 2022
- [i11]Yuan Mao, Lei Shi, Zheng-Chu Guo:
Coefficient-based Regularized Distribution Regression. CoRR abs/2208.12427 (2022) - [i10]Xin Guo, Zheng-Chu Guo, Lei Shi:
Capacity dependent analysis for functional online learning algorithms. CoRR abs/2209.12198 (2022) - [i9]Yuan Mao, Zheng-Chu Guo:
Online Regularized Learning Algorithm for Functional Data. CoRR abs/2211.13549 (2022) - 2020
- [j12]Zhiying Fang
, Zheng-Chu Guo, Ding-Xuan Zhou:
Optimal learning rates for distribution regression. J. Complex. 56 (2020) - [j11]Zheng-Chu Guo, Lei Shi, Shao-Bo Lin:
Realizing Data Features by Deep Nets. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4036-4048 (2020)
2010 – 2019
- 2019
- [j10]Zheng-Chu Guo, Lei Shi:
Fast and strong convergence of online learning algorithms. Adv. Comput. Math. 45(5): 2745-2770 (2019) - [i8]Zheng-Chu Guo, Lei Shi, Shao-Bo Lin:
Realizing data features by deep nets. CoRR abs/1901.00130 (2019) - 2017
- [j9]Zheng-Chu Guo, Yiming Ying, Ding-Xuan Zhou:
Online regularized learning with pairwise loss functions. Adv. Comput. Math. 43(1): 127-150 (2017) - [j8]Zheng-Chu Guo, Lei Shi, Qiang Wu:
Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network. J. Mach. Learn. Res. 18: 118:1-118:25 (2017) - [j7]Yunwen Lei, Lei Shi, Zheng-Chu Guo:
Convergence of Unregularized Online Learning Algorithms. J. Mach. Learn. Res. 18: 171:1-171:33 (2017) - [c1]Yuyi Wang, Zheng-Chu Guo, Jan Ramon:
Learning from Networked Examples. ALT 2017: 641-666 - [i7]Zheng-Chu Guo, Lei Shi, Qiang Wu:
Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network. CoRR abs/1708.01960 (2017) - [i6]Yunwen Lei, Lei Shi, Zheng-Chu Guo:
Convergence of Unregularized Online Learning Algorithms. CoRR abs/1708.02939 (2017) - [i5]Zheng-Chu Guo, Lei Shi:
Fast and Strong Convergence of Online Learning Algorithms. CoRR abs/1710.03600 (2017) - 2016
- [j6]Qiong Cao, Zheng-Chu Guo, Yiming Ying:
Generalization bounds for metric and similarity learning. Mach. Learn. 102(1): 115-132 (2016) - 2014
- [j5]Zheng-Chu Guo, Yiming Ying:
Guaranteed Classification via Regularized Similarity Learning. Neural Comput. 26(3): 497-522 (2014) - [i4]Yuyi Wang, Jan Ramon, Zheng-Chu Guo:
Learning from networked examples. CoRR abs/1405.2600 (2014) - 2013
- [j4]Zheng-Chu Guo, Ding-Xuan Zhou:
Concentration estimates for learning with unbounded sampling. Adv. Comput. Math. 38(1): 207-223 (2013) - [j3]Zheng-Chu Guo, Lei Shi:
Learning with coefficient-based regularization and ℓ1 -penalty. Adv. Comput. Math. 39(3-4): 493-510 (2013) - [i3]Yuyi Wang, Jan Ramon, Zheng-Chu Guo:
Learning from networked examples in a k-partite graph. CoRR abs/1306.0393 (2013) - [i2]Zheng-Chu Guo, Yiming Ying:
Guaranteed Classification via Regularized Similarity Learning. CoRR abs/1306.3108 (2013) - 2012
- [i1]Qiong Cao, Zheng-Chu Guo, Yiming Ying:
Generalization Bounds for Metric and Similarity Learning. CoRR abs/1207.5437 (2012) - 2011
- [j2]Zheng-Chu Guo, Cheng Wang:
Online regression with unbounded sampling. Int. J. Comput. Math. 88(14): 2936-2941 (2011) - [j1]Zheng-Chu Guo, Lei Shi:
Classification with non-i.i.d. sampling. Math. Comput. Model. 54(5-6): 1347-1364 (2011)
Coauthor Index
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