Naichen Shi

24 papers A* 3Journal 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
Physics as the Inductive Bias for Causal Discovery.
CoRR
Jianhong Chen, Naichen Shi, Xubo Yue
2026 J jnl
Scalable Mean-Field Variational Inference via Preconditioned Primal-Dual Optimization.
CoRR
Jinhua Lyu, Tianmin Yu, Ying Ma, Naichen Shi
2025 J jnl
Calibrated Principal Component Regression.
CoRR
Yixuan Florence Wu, Yilun Zhu, Lei Cao, Naichen Shi
2025 J jnl
Coupled Flow Matching.
CoRR
Wenxi Cai, Yuheng Wang, Naichen Shi
2025 J jnl
Diffusion-Based Surrogate Modeling and Multi-Fidelity Calibration.
IEEE Trans Autom. Sci. Eng.
Naichen Shi, Hao Yan, Shenghan Guo, Raed Al Kontar
2025 J jnl
Domain Generalization: A Tale of Two ERMs.
CoRR
Yilun Zhu, Naihao Deng, Naichen Shi, Aditya Gangrade, Clayton Scott
2025 J jnl
Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models.
CoRR
Haoyi Song, Ruihan Ji, Naichen Shi, Fan Lai, Raed Al Kontar
2025 J jnl
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data.
Technometrics
Jiuyun Hu, Naichen Shi, Raed Al Kontar, Hao Yan
2024 J jnl
Fed-ensemble: Ensemble Models in Federated Learning for Improved Generalization and Uncertainty Quantification.
IEEE Trans Autom. Sci. Eng.
Naichen Shi, Fan Lai, Raed Al Kontar, Mosharaf Chowdhury
2024 J jnl
Personalized PCA: Decoupling Shared and Unique Features.
J. Mach. Learn. Res.
Naichen Shi, Raed Al Kontar
2024 J jnl
Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components.
CoRR
Naichen Shi, Salar Fattahi, Raed Al Kontar
2024 J jnl
Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components.
J. Mach. Learn. Res.
Naichen Shi, Salar Fattahi, Raed Al Kontar
2023 A* conf
Personalized Dictionary Learning for Heterogeneous Datasets.
NeurIPS
Geyu Liang, Naichen Shi, Raed Al Kontar, Salar Fattahi
2023 J jnl
Personalized Dictionary Learning for Heterogeneous Datasets.
CoRR
Geyu Liang, Naichen Shi, Raed Al Kontar, Salar Fattahi
2023 J jnl
Personalized Federated Learning via Domain Adaptation with an Application to Distributed 3D Printing.
Technometrics
Naichen Shi, Raed Al Kontar
2023 J jnl
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data.
CoRR
Jiuyun Hu, Naichen Shi, Raed Al Kontar, Hao Yan
2022 A* conf
Adam Can Converge Without Any Modification On Update Rules.
NeurIPS
Yushun Zhang, Congliang Chen, Naichen Shi, Ruoyu Sun, Zhi-Quan Luo
2022 J jnl
Adam Can Converge Without Any Modification on Update Rules.
CoRR
Yushun Zhang, Congliang Chen, Naichen Shi, Ruoyu Sun, Zhi-Quan Luo
2022 J jnl
Personalized PCA: Decoupling Shared and Unique Features.
CoRR
Naichen Shi, Raed Al Kontar
2021 J jnl
Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning.
CoRR
Naichen Shi, Fan Lai, Raed Al Kontar, Mosharaf Chowdhury
2021 A* conf
RMSprop converges with proper hyper-parameter.
ICLR
Naichen Shi, Dawei Li, Mingyi Hong, Ruoyu Sun
2021 J jnl
ScrofaZero: Mastering Trick-taking Poker Game Gongzhu by Deep Reinforcement Learning.
CoRR
Naichen Shi, Ruichen Li, Sun Youran
2021 J jnl
The Internet of Federated Things (IoFT).
IEEE Access
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
2021 J jnl
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning.
CoRR
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