Publication Search Results
Exact matches for:
- Author = Ying Y [web profile page]
1.
Yang M, Wei X, Yang T, Ying Y
Ming Yang, Xiyuan Wei, Tianbao Yang, Yiming Ying:
Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms,
Proceedings of Machine Learning Research,
The Forty-First International Conference on Machine Learning,
Neil Lawrence (ed.),
PMLR,
USA,
(2024),
56542–56593.
ISBN 2640-3498.
2.
Chen L, Fernando H, Ying Y, Chen T
Lisha Chen, Heshan Fernando, Yiming Ying, Tianyi Chen:
Three-way trade-off in multi-objective learning: optimization, generalization and conflict-avoidance,
Journal of Machine Learning Research (JMLR),
25
(2024),
Paper No. 193 (53 pages).
3.
Wang P, Lei Y, Ying Y, Zhou DX
Puyu Wang, Yunwen Lei, Yiming Ying, Ding-Xuan Zhou:
Differentially private stochastic gradient descent with low-noise,
Neurocomputing,
585
(2024),
Article 127557 (14 pages).
4.
Lei Y, Yang T, Ying Y, Zhou DX
Yunwen Lei, Tianbao Yang, Yiming Ying, Ding-Xuan Zhou:
Generalization Analysis for Contrastive Representation Learning,
Proceedings of the 40th International Conference on Machine Learning,
ICML 2023 – Fortieth International Conference on Machine Learning,
ICML,
USA,
(2023),
28 pages.
5.
Wang P, Lei Y, Ying Y, Zhou DX
Puyu Wang, Yunwen Lei, Yiming Ying, Ding-Xuan Zhou:
Stability and generalization for Markov Chain stochastic gradient methods,
NeurIPS 2022,
Neural Information Processing Systems.Conference 36th 2022,
Koyejo, S. and Mohamed, S. et al. (eds.),
Neural Information Processing Systems Foundation, Inc. (NeurIPS),
USA,
(2022),
37 pages.
ISBN 9781713871088.
6.
Ying Y, Zhou DX
Yiming Ying, Ding-Xuan Zhou:
Unregularized online learning algorithms with general loss functions,
Applied and Computational Harmonic Analysis,
42
(2017),
224–244.
7.
Guo ZC, Ying Y, Zhou DX
Zheng-Chu Guo, Yiming Ying, Ding-Xuan Zhou:
Online regularized learning with pairwise loss functions,
Advances in Computational Mathematics,
43
(2017),
127–150.
8.
Ying Y, Zhou DX
Yiming Ying and Ding-Xuan Zhou:
Online pairwise learning algorithms,
Neural Computation,
28
(2016),
743–777.
MR3867770
9.
Ying Y, Zhou DX
Yiming Ying, Ding-Xuan Zhou:
Learnability of Gaussians with flexible variances.,
J. Mach. Learn. Res.,
8
(2007),
249–276.
MR2320669
10.
Wu Q, Ying Y, Zhou DX
Qiang Wu, Yiming Ying, Ding-Xuan Zhou:
Multi-kernel regularized classifiers.,
J. Complexity,
23
(2007),
no. 1,
#8211;134.
MR2297018
11.
Wu Q, Ying Y, Zhou DX
Qiang Wu, Yiming Ying, Ding-Xuan Zhou:
Learning theory: from regression to classification,
Studies in omputational Mathematics1,
12
(2006),
257–290.
MR2410702
12.
Ying Y, Zhou DX
Yiming Ying, Ding-Xuan Zhou:
Online regularized classification algorithms.,
IEEE Trans. Inform. Theory,
52
(2006),
no. 11,
–4788.
MR2302601
13.
Wu Q, Ying Y, Zhou DX
Qiang Wu, Yiming Ying, Ding-Xuan Zhou:
Learning rates of least-square regularized regression.,
Found. Comput. Math.,
6
(2006),
no. 2,
#8211;192.
MR2228738
14.
Chen DR, Wu Q, Ying Y, Zhou DX
Di-Rong Chen, Qiang Wu, Yiming Ying, Ding-Xuan Zhou:
Support vector machine soft margin classifiers: error analysis.,
J. Mach. Learn. Res.,
5
(2003),
1143–1175.
MR2248013
| Number of matches: 14 |