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Haishan Ye

Showing results (1-10 of 5) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|September 5, 2025
PMGT-VR: a Decentralized Proximal-gradient Algorithmic Framework with Variance ReductionHaishan Ye, Wei Xiong, Tong Zhang
IEEE Transactions on Neural Networks and Learning Systems|September 9, 2020
Accelerated Proximal Subsampled Newton MethodHaishan Ye, Luo Luo, Zhihua Zhang
IEEE Transactions on Neural Networks and Learning Systems|March 7, 2022
Accelerated Distributed Approximate Newton MethodHaishan Ye, Chaoyang He, Xiangyu Chang
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 4, 2025
Hessian-Aware Zeroth-Order OptimizationHaishan Ye, Zhichao Huang, Cong Fang, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 5, 2026
Warm-start or cold-start? A comparison of generalizability in gradient-based hyperparameter tuningYubo Zhou, Jun Shu, Chengli Tan, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 5, 2025
PMGT-VR: a Decentralized Proximal-gradient Algorithmic Framework with Variance ReductionHaishan Ye, Wei Xiong, Tong Zhang
IEEE Transactions on Neural Networks and Learning Systems|September 9, 2020
Accelerated Proximal Subsampled Newton MethodHaishan Ye, Luo Luo, Zhihua Zhang
IEEE Transactions on Neural Networks and Learning Systems|March 7, 2022
Accelerated Distributed Approximate Newton MethodHaishan Ye, Chaoyang He, Xiangyu Chang
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 4, 2025
Hessian-Aware Zeroth-Order OptimizationHaishan Ye, Zhichao Huang, Cong Fang, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 5, 2026
Warm-start or cold-start? A comparison of generalizability in gradient-based hyperparameter tuningYubo Zhou, Jun Shu, Chengli Tan, et al.
Pageof 1