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Browsing by Author Ying, Yiming
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Showing results 10 to 17 of 17
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Title
Author(s)
Issue Date
SHARPER GENERALIZATION BOUNDS FOR LEARNING WITH GRADIENT-DOMINATED OBJECTIVE FUNCTIONS
Proceeding/Conference:
ICLR 2021 - 9th International Conference on Learning Representations
Lei, Yunwen
Ying, Yiming
2021
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning
Proceeding/Conference:
Advances in Neural Information Processing Systems
Yang, Zhenhuan
Lei, Yunwen
Wang, Puyu
Yang, Tianbao
Ying, Yiming
2021
Stability and Differential Privacy of Stochastic Gradient Descent for Pairwise Learning with Non-Smooth Loss
Proceeding/Conference:
Proceedings of Machine Learning Research
Yang, Zhenhuan
Lei, Yunwen
Lyu, Siwei
Ying, Yiming
2021
Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks
Proceeding/Conference:
Advances in Neural Information Processing Systems
Lei, Yunwen
Jin, Rong
Ying, Yiming
2022
Stability and Generalization for Markov Chain Stochastic Gradient Methods
Proceeding/Conference:
Advances in Neural Information Processing Systems
Wang, Puyu
Lei, Yunwen
Ying, Yiming
Zhou, Ding Xuan
2022
Stability and Generalization of Stochastic Gradient Methods for Minimax Problems
Proceeding/Conference:
Proceedings of Machine Learning Research
Lei, Yunwen
Yang, Zhenhuan
Yang, Tianbao
Ying, Yiming
2021
Stochastic hard thresholding algorithms for AUC maximization
Proceeding/Conference:
Proceedings - IEEE International Conference on Data Mining, ICDM
Yang, Zhenhuan
Zhou, Baojian
Lei, Yunwen
Ying, Yiming
2020
Stochastic proximal AUC maximization
Journal:
Journal of Machine Learning Research
Lei, Yunwen
Ying, Yiming
2021