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Naichen Shi
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2020 – today
- 2024
- [j4]Naichen Shi, Raed Al Kontar:
Personalized PCA: Decoupling Shared and Unique Features. J. Mach. Learn. Res. 25: 41:1-41:82 (2024) - [j3]Naichen Shi, Fan Lai, Raed Al Kontar, Mosharaf Chowdhury:
Fed-ensemble: Ensemble Models in Federated Learning for Improved Generalization and Uncertainty Quantification. IEEE Trans Autom. Sci. Eng. 21(3): 2792-2803 (2024) - [i8]Naichen Shi, Salar Fattahi, Raed Al Kontar:
Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components. CoRR abs/2404.07955 (2024) - 2023
- [j2]Naichen Shi, Raed Al Kontar:
Personalized Federated Learning via Domain Adaptation with an Application to Distributed 3D Printing. Technometrics 65(3): 328-339 (2023) - [c3]Geyu Liang, Naichen Shi, Raed Al Kontar, Salar Fattahi:
Personalized Dictionary Learning for Heterogeneous Datasets. NeurIPS 2023 - [i7]Geyu Liang, Naichen Shi, Raed Al Kontar, Salar Fattahi:
Personalized Dictionary Learning for Heterogeneous Datasets. CoRR abs/2305.15311 (2023) - [i6]Jiuyun Hu, Naichen Shi, Raed Al Kontar, Hao Yan:
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data. CoRR abs/2309.03439 (2023) - 2022
- [c2]Yushun Zhang, Congliang Chen, Naichen Shi, Ruoyu Sun, Zhi-Quan Luo:
Adam Can Converge Without Any Modification On Update Rules. NeurIPS 2022 - [i5]Naichen Shi, Raed Al Kontar:
Personalized PCA: Decoupling Shared and Unique Features. CoRR abs/2207.08041 (2022) - [i4]Yushun Zhang, Congliang Chen, Naichen Shi, Ruoyu Sun, Zhi-Quan Luo:
Adam Can Converge Without Any Modification on Update Rules. CoRR abs/2208.09632 (2022) - 2021
- [j1]Raed Kontar, Naichen Shi, Xubo Yue, Seokhyun Chung, Eunshin Byon, Mosharaf Chowdhury, Jionghua Jin, Wissam Kontar, Neda Masoud, Maher Nouiehed, Chinedum Emmanuel Okwudire, Garvesh Raskutti, Romesh Saigal, Karandeep Singh, Zhi-Sheng Ye:
The Internet of Federated Things (IoFT). IEEE Access 9: 156071-156113 (2021) - [c1]Naichen Shi, Dawei Li, Mingyi Hong, Ruoyu Sun:
RMSprop converges with proper hyper-parameter. ICLR 2021 - [i3]Naichen Shi, Ruichen Li, Sun Youran:
ScrofaZero: Mastering Trick-taking Poker Game Gongzhu by Deep Reinforcement Learning. CoRR abs/2102.07495 (2021) - [i2]Naichen Shi, Fan Lai, Raed Al Kontar, Mosharaf Chowdhury:
Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning. CoRR abs/2107.10663 (2021) - [i1]Raed Kontar, Naichen Shi, Xubo Yue, Seokhyun Chung, Eunshin Byon, Mosharaf Chowdhury, Judy Jin, Wissam Kontar, Neda Masoud, Maher Nouiehed, Chinedum Emmanuel Okwudire, Garvesh Raskutti, Romesh Saigal, Karandeep Singh, Zhisheng Ye:
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning. CoRR abs/2111.05326 (2021)
Coauthor Index
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last updated on 2024-10-07 22:11 CEST by the dblp team
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