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Yiming Ying
Yiming Ying
Professor, Department of Mathematics and Statistics, University at Albany, SUNY
Verified email at albany.edu - Homepage
Title
Cited by
Cited by
Year
Learning with support vector machines
C Campbell, Y Ying
Springer Nature, 2022
4282022
Distance metric learning with eigenvalue optimization
Y Ying, P Li
The Journal of Machine Learning Research 13 (1), 1-26, 2012
3712012
A spectral regularization framework for multi-task structure learning
A Argyriou, M Pontil, Y Ying, C Micchelli
Advances in neural information processing systems 20, 2007
3082007
Support vector machine soft margin classifiers: error analysis
DR Chen, Q Wu, Y Ying, DX Zhou
The Journal of Machine Learning Research 5, 1143-1175, 2004
2992004
Learning rates of least-square regularized regression
Q Wu, Y Ying, DX Zhou
Foundations of computational mathematics 6, 171-192, 2006
2672006
Similarity Metric Learning for Face Recognition
Q Cao, Y Ying, P Li
International Conference on Computer Vision (ICCV), 2013
2492013
Multi-kernel regularized classifiers
Q Wu, Y Ying, DX Zhou
Journal of Complexity 23 (1), 108-134, 2007
2062007
Universal multi-task kernels
A Caponnetto, CA Micchelli, M Pontil, Y Ying
The Journal of Machine Learning Research 9, 1615-1646, 2008
1972008
Stochastic online AUC maximization
Y Ying, L Wen, S Lyu
Advances in neural information processing systems 29, 2016
1652016
Sparse metric learning via smooth optimization
Y Ying, K Huang, C Campbell
Advances in neural information processing systems 22, 2009
1362009
Online regularized classification algorithms
Y Ying, DX Zhou
IEEE Transactions on Information Theory 52 (11), 4775-4788, 2006
1352006
Generalization bounds for metric and similarity learning
Q Cao, ZC Guo, Y Ying
Machine Learning 102 (1), 115-132, 2016
1262016
Online gradient descent learning algorithms
Y Ying, M Pontil
Foundations of Computational Mathematics 8, 561-596, 2008
1222008
Learning with average top-k loss
Y Fan, S Lyu, Y Ying, B Hu
Advances in neural information processing systems 30, 2017
952017
Fine-grained analysis of stability and generalization for stochastic gradient descent
Y Lei, Y Ying
International Conference on Machine Learning, 5809-5819, 2020
942020
Gsml: A unified framework for sparse metric learning
K Huang, Y Ying, C Campbell
Data Mining, 2009. ICDM'09. Ninth IEEE International Conference on, 189-198, 2009
85*2009
Learnability of Gaussians with flexible variances
Y Ying, DX Zhou
Microtome Publishing, 2007
852007
Time series anomaly detection for trustworthy services in cloud computing systems
C Huang, G Min, Y Wu, Y Ying, K Pei, Z Xiang
IEEE Transactions on Big Data 8 (1), 60-72, 2017
772017
Stochastic auc maximization with deep neural networks
M Liu, Z Yuan, Y Ying, T Yang
arXiv preprint arXiv:1908.10831, 2019
742019
Singular integral operators on function spaces
J Chen, D Fan, Y Ying
Journal of mathematical analysis and applications 276 (2), 691-708, 2002
722002
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Articles 1–20