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Showing results 9 to 16 of 16 < previous

	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

Showing results 9 to 16 of 16 < previous