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Yunwen Lei

University of Birmingham

Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning


Nov 23, 2021
Zhenhuan Yang, Yunwen Lei, Puyu Wang, Tianbao Yang, Yiming Ying

* NeurIPS 2021 accepted 

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Learning Interpretable Concept Groups in CNNs


Sep 21, 2021
Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen, Yunwen Lei, Matthias Enders, Damian Borth, Marius Kloft


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Stability and Generalization for Randomized Coordinate Descent


Aug 17, 2021
Puyu Wang, Liang Wu, Yunwen Lei

* 12 pages, 1 figure 

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Fine-grained Generalization Analysis of Structured Output Prediction


May 31, 2021
Waleed Mustafa, Yunwen Lei, Antoine Ledent, Marius Kloft

* To appearn in IJCAI 2021 

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Stability and Generalization of Stochastic Gradient Methods for Minimax Problems


May 08, 2021
Yunwen Lei, Zhenhuan Yang, Tianbao Yang, Yiming Ying

* To appear in ICML 2021 

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Fine-grained Generalization Analysis of Vector-valued Learning


Apr 29, 2021
Liang Wu, Antoine Ledent, Yunwen Lei, Marius Kloft

* To appear in AAAI 2021 

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Differentially Private SGD with Non-Smooth Loss


Jan 22, 2021
Puyu Wang, Yunwen Lei, Yiming Ying, Hai Zhang

* 26 pages, 1 table 

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Stochastic Hard Thresholding Algorithms for AUC Maximization


Nov 04, 2020
Zhenhuan Yang, Baojian Zhou, Yunwen Lei, Yiming Ying


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Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent


Jun 15, 2020
Yunwen Lei, Yiming Ying

* to appear in ICML 2020 

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On Performance Estimation in Automatic Algorithm Configuration


Nov 19, 2019
Shengcai Liu, Ke Tang, Yunwen Lei, Xin Yao

* accepted by AAAI 2020 

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Stochastic Proximal AUC Maximization


Jun 14, 2019
Yunwen Lei, Yiming Ying


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Improved Generalisation Bounds for Deep Learning Through $L^\infty$ Covering Numbers


May 29, 2019
Antoine Ledent, Yunwen Lei, Marius Kloft

* 26 pages, 8 figures 

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A Generalization Error Bound for Multi-class Domain Generalization


May 24, 2019
Aniket Anand Deshmukh, Yunwen Lei, Srinagesh Sharma, Urun Dogan, James W. Cutler, Clayton Scott


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Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions


Mar 10, 2019
Yunwen Lei, Ting Hu, Guiying Li, Ke Tang


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Convergence of Online Mirror Descent Algorithms


Feb 18, 2018
Yunwen Lei, Ding-Xuan Zhou


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Data-dependent Generalization Bounds for Multi-class Classification


Dec 29, 2017
Yunwen Lei, Urun Dogan, Ding-Xuan Zhou, Marius Kloft


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Convergence of Unregularized Online Learning Algorithms


Aug 09, 2017
Yunwen Lei, Lei Shi, Zheng-Chu Guo


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Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning


Feb 09, 2017
Niloofar Yousefi, Yunwen Lei, Marius Kloft, Mansooreh Mollaghasemi, Georgios Anagnostopoulos

* In this version, some arguments and results (of the previous version) have been corrected, or modified 

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Localized Multiple Kernel Learning---A Convex Approach


Oct 13, 2016
Yunwen Lei, Alexander Binder, Ürün Dogan, Marius Kloft

* to appear in ACML 2016 

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Local Rademacher Complexity Bounds based on Covering Numbers


Oct 06, 2015
Yunwen Lei, Lixin Ding, Yingzhou Bi


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Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms


Jun 14, 2015
Yunwen Lei, Ürün Dogan, Alexander Binder, Marius Kloft


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