Yunwen Lei
Yunwen Lei
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Zitiert von
Zitiert von
Multi-class svms: From tighter data-dependent generalization bounds to novel algorithms
Y Lei, Ü Dogan, A Binder, M Kloft
arXiv preprint arXiv:1506.04359, 2015
Stochastic gradient descent for nonconvex learning without bounded gradient assumptions
Y Lei, T Hu, G Li, K Tang
IEEE Transactions on Neural Networks and Learning Systems 31 (10), 4394-4400, 2020
Generalization performance of radial basis function networks
Y Lei, L Ding, W Zhang
IEEE Transactions on Neural Networks and Learning Systems 26 (3), 551-564, 2015
Data-dependent generalization bounds for multi-class classification
Y Lei, Ü Dogan, DX Zhou, M Kloft
IEEE Transactions on Information Theory 65 (5), 2995-3021, 2019
Refined Rademacher chaos complexity bounds with applications to the multikernel learning problem
Y Lei, L Ding
Neural computation 26 (4), 739-760, 2014
Convergence of online mirror descent
Y Lei, DX Zhou
Applied and Computational Harmonic Analysis 48 (1), 343-373, 2020
Convergence of unregularized online learning algorithms
Y Lei, L Shi, ZC Guo
The Journal of Machine Learning Research 18 (1), 6269-6301, 2018
Online pairwise learning algorithms with convex loss functions
J Lin, Y Lei, B Zhang, DX Zhou
Information Sciences 406, 57-70, 2017
Localized Multiple Kernel Learning—A Convex Approach
Y Lei, A Binder, U Dogan, M Kloft
Proceedings of The 8th Asian Conference on Machine Learning 63, 81-96, 2016
Theory and algorithms for the localized setting of learning kernels
Y Lei, A Binder, Ü Dogan, M Kloft
Feature Extraction: Modern Questions and Challenges, 173-195, 2015
Boosted Kernel Ridge Regression: Optimal Learning Rates and Early Stopping
SB Lin, Y Lei, DX Zhou
Journal of Machine Learning Research 20 (46), 1-36, 2019
Refined bounds for online pairwise learning algorithms
X Chen, Y Lei
Neurocomputing 275, 2656-2665, 2018
Learning theory of randomized sparse Kaczmarz method
Y Lei, DX Zhou
SIAM Journal on Imaging Sciences 11 (1), 547-574, 2018
Local rademacher complexity bounds based on covering numbers
Y Lei, L Ding, Y Bi
Neurocomputing 218, 320-330, 2016
Local rademacher complexity-based learning guarantees for multi-task learning
N Yousefi, Y Lei, M Kloft, M Mollaghasemi, GC Anagnostopoulos
The Journal of Machine Learning Research 19 (1), 1385-1431, 2018
Analysis of online composite mirror descent algorithm
Y Lei, DX Zhou
Neural computation 29 (3), 825-860, 2017
On performance estimation in automatic algorithm configuration
S Liu, K Tang, Y Lei, X Yao
Proceedings of the AAAI Conference on Artificial Intelligence 34 (03), 2384-2391, 2020
Stochastic proximal AUC maximization
Y Lei, Y Ying
arXiv preprint arXiv:1906.06053, 2019
A generalization error bound for multi-class domain generalization
AA Deshmukh, Y Lei, S Sharma, U Dogan, JW Cutler, C Scott
arXiv preprint arXiv:1905.10392, 2019
Generalization analysis of multi-modal metric learning
Y Lei, Y Ying
Analysis and Applications 14 (04), 503-521, 2016
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