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Publication Search Results

Exact matches for:

• Author = Lei Y

1. 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).

2. 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.

3. 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.

4. Lei Y, Zhou DX
Yunwen Lei, Ding-Xuan Zhou: Convergence of online mirror descent, Applied and Computational Harmonic Analysis, 48 (2020), 343–373.

5. Lei Y, Yang P, Tang K, Zhou DX
Yunwen Lei, Peng Yang, Ke Tang, Ding-Xuan Zhou: Optimal Stochastic and Online Learning with Individual Iterates, NeurIPS Proceedings, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019),, H. Wallach and H. Larochelle and A. Beygelzimer and F. d'Alché-Buc and E. Fox and R. Garnett (eds.), Advances in Neural Information Processing Systems, Online Publication, —, (2019), 11 pages. ISBN 9781713807933.

6. Lei Y, Dogan U, Zhou DX, Kloft M
Yunwen Lei, Urun Dogan, Ding-Xuan Zhou and Marius Kloft: Data-dependent Generalization Bounds for Multi-class Classification, IEEE Transactions on Information Theory, 65 (2019), 2995–3021.

7. Lin SB, Lei Y, Zhou DX
Shao-Bo Lin, Yunwen Lei, Ding-Xuan Zhou: Boosted Kernel Ridge Regression: Optimal Learning Rates and Early Stopping, Journal of Machine Learning Research, 20 (2019), 1–36.

8. Lei Y, Zhou DX
Yunwen Lei and Ding-Xuan Zhou: Analysis of Singular Value Thresholding Algorithm for Matrix Completion, Journal of Fourier Analysis and Applications, 25 (2019), 2957–2972.

9. Lei Y, Zhou DX
Yunwen Lei and Ding-Xuan Zhou: Learning theory of randomized Sparse Kaczmarz method, SIAM Journal on Imaging Sciences, 11 (2018), 547–574.

10. Lei Y, Zhou DX
Yunwen Lei and Ding-Xuan Zhou: Analysis of online composite mirror descent algorithm, Neural Computation, 29 (2017), 825860.

11. Lin J, Lei Y, Zhang B, Zhou DX
Junhong Lin, Yunwen Lei, Bo Zhang and Ding-Xuan Zhou: Online pairwise learning algorithms with convex loss functions, Information Sciences, 406-407 (2017), 57–70.