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Publication search results
found 98 matches
- 2024
- Puyu Wang, Yunwen Lei, Yiming Ying, Ding-Xuan Zhou:
Differentially private stochastic gradient descent with low-noise. Neurocomputing 585: 127557 (2024) - Junhuai Li, Kan Wang, Xiangwang Hou, Dapeng Lan, Yunwen Wu, Huaijun Wang, Lei Liu, Shahid Mumtaz:
A Dual-Scale Transformer-Based Remaining Useful Life Prediction Model in Industrial Internet of Things. IEEE Internet Things J. 11(16): 26656-26667 (2024) - Sichao Fu, Qiong Cao, Yunwen Lei, Yujie Zhong, Yibing Zhan, Xinge You:
Few-Shot Learning With Dynamic Graph Structure Preserving. IEEE Trans. Ind. Informatics 20(3): 3306-3315 (2024) - Jintao Song, Wenqi Lu, Yunwen Lei, Yuchao Tang, Zhenkuan Pan, Jinming Duan:
Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems. AAAI 2024: 8117-8125 - Sijia Zhou, Yunwen Lei, Ata Kabán:
Self-certified Tuple-Wise Deep Learning. ECML/PKDD (2) 2024: 303-320 - Jintao Song, Wenqi Lu, Yunwen Lei, Yuchao Tang, Zhenkuan Pan, Jinming Duan:
Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems. CoRR abs/2401.00657 (2024) - Tao Yang, Yangming Shi, Yunwen Huang, Feng Chen, Yin Zheng, Lei Zhang:
Factorized-Dreamer: Training A High-Quality Video Generator with Limited and Low-Quality Data. CoRR abs/2408.10119 (2024) - Andreas Christmann, Yunwen Lei:
Bootstrap SGD: Algorithmic Stability and Robustness. CoRR abs/2409.01074 (2024) - 2023
- Yunwen Liu, Zhongfeng Niu, Siwei Sun, Chao Li, Lei Hu:
Rotational Differential-Linear Cryptanalysis Revisited. J. Cryptol. 36(1): 3 (2023) - Zhanliang Huang, Yunwen Lei, Ata Kabán:
Optimization and Learning With Randomly Compressed Gradient Updates. Neural Comput. 35(7): 1234-1287 (2023) - Tao Sun, Qingsong Wang, Yunwen Lei, Dongsheng Li, Bao Wang:
Pairwise Learning with Adaptive Online Gradient Descent. Trans. Mach. Learn. Res. 2023 (2023) - Antoine Ledent, Rodrigo Alves, Yunwen Lei, Yann Guermeur, Marius Kloft:
Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings. AAAI 2023: 8447-8455 - Yunwen Lei:
Stability and Generalization of Stochastic Optimization with Nonconvex and Nonsmooth Problems. COLT 2023: 191-227 - Shi Fu, Yunwen Lei, Qiong Cao, Xinmei Tian, Dacheng Tao:
Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process. ICLR 2023 - Yunwen Lei, Tianbao Yang, Yiming Ying, Ding-Xuan Zhou:
Generalization Analysis for Contrastive Representation Learning. ICML 2023: 19200-19227 - Sijia Zhou, Yunwen Lei, Ata Kabán:
Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms. NeurIPS 2023 - Yunwen Lei, Tianbao Yang, Yiming Ying, Ding-Xuan Zhou:
Generalization Analysis for Contrastive Representation Learning. CoRR abs/2302.12383 (2023) - Puyu Wang, Yunwen Lei, Di Wang, Yiming Ying, Ding-Xuan Zhou:
Generalization Guarantees of Gradient Descent for Multi-Layer Neural Networks. CoRR abs/2305.16891 (2023) - Yunwen Lei, Tao Sun, Mingrui Liu:
Stability and Generalization for Minibatch SGD and Local SGD. CoRR abs/2310.01139 (2023) - 2022
- Ming Chen, Wei Jiang, Yi Pan, Jianhua Dai, Yunwen Lei, Chunyan Ji:
SGFNNs: Signed Graph Filtering-based Neural Networks for Predicting Drug-Drug Interactions. J. Comput. Biol. 29(10): 1104-1116 (2022) - Ting Hu, Yunwen Lei:
Early Stopping for Iterative Regularization with General Loss Functions. J. Mach. Learn. Res. 23: 339:1-339:36 (2022) - Waleed Mustafa, Yunwen Lei, Marius Kloft:
On the Generalization Analysis of Adversarial Learning. ICML 2022: 16174-16196 - Yunwen Lei, Rong Jin, Yiming Ying:
Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks. NeurIPS 2022 - Mingrui Liu, Zhenxun Zhuang, Yunwen Lei, Chunyang Liao:
A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks. NeurIPS 2022 - Puyu Wang, Yunwen Lei, Yiming Ying, Ding-Xuan Zhou:
Stability and Generalization for Markov Chain Stochastic Gradient Methods. NeurIPS 2022 - Zhanliang Huang, Yunwen Lei, Ata Kabán:
Noise-Efficient Learning of Differentially Private Partitioning Machine Ensembles. ECML/PKDD (4) 2022: 587-603 - Zhenhuan Yang, Shu Hu, Yunwen Lei, Kush R. Varshney, Siwei Lyu, Yiming Ying:
Differentially private SGDA for minimax problems. UAI 2022: 2192-2202 - Zhenhuan Yang, Shu Hu, Yunwen Lei, Kush R. Varshney, Siwei Lyu, Yiming Ying:
Differentially Private SGDA for Minimax Problems. CoRR abs/2201.09046 (2022) - Yunwen Lei:
Stability and Generalization of Stochastic Optimization with Nonconvex and Nonsmooth Problems. CoRR abs/2206.07082 (2022) - Puyu Wang, Yunwen Lei, Yiming Ying, Ding-Xuan Zhou:
Differentially Private Stochastic Gradient Descent with Low-Noise. CoRR abs/2209.04188 (2022)
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