Naichen Shi

According to our database, Naichen Shi authored at least 19 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Scalable Mean-Field Variational Inference via Preconditioned Primal-Dual Optimization.

Jinhua Lyu, Tianmin Yu, Ying Ma, Naichen Shi

CoRR, February, 2026

Physics as the Inductive Bias for Causal Discovery.

Jianhong Chen, Naichen Shi, Xubo Yue

CoRR, February, 2026

2025

Coupled Flow Matching.

Wenxi Cai, Yuheng Wang, Naichen Shi

CoRR, October, 2025

Calibrated Principal Component Regression.

Yixuan Florence Wu, Yilun Zhu, Lei Cao, Naichen Shi

CoRR, October, 2025

Domain Generalization: A Tale of Two ERMs.

Yilun Zhu, Naihao Deng, Naichen Shi, Aditya Gangrade, Clayton Scott

CoRR, October, 2025

Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data.

Jiuyun Hu, Naichen Shi, Raed Al Kontar, Hao Yan

Technometrics, July, 2025

Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models.

Haoyi Song, Ruihan Ji, Naichen Shi, Fan Lai, Raed Al Kontar

CoRR, June, 2025

Diffusion-Based Surrogate Modeling and Multi-Fidelity Calibration.

Naichen Shi, Hao Yan, Shenghan Guo, Raed Al Kontar

IEEE Trans Autom. Sci. Eng., 2025

2024

Fed-ensemble: Ensemble Models in Federated Learning for Improved Generalization and Uncertainty Quantification.

Naichen Shi, Fan Lai, Raed Al Kontar, Mosharaf Chowdhury

IEEE Trans Autom. Sci. Eng., July, 2024

Personalized PCA: Decoupling Shared and Unique Features.

Naichen Shi, Raed Al Kontar

J. Mach. Learn. Res., 2024

Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components.

Naichen Shi, Salar Fattahi, Raed Al Kontar

J. Mach. Learn. Res., 2024

2023

Personalized Federated Learning via Domain Adaptation with an Application to Distributed 3D Printing.

Naichen Shi, Raed Al Kontar

Technometrics, July, 2023

Personalized Dictionary Learning for Heterogeneous Datasets.

Geyu Liang, Naichen Shi, Raed Al Kontar, Salar Fattahi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Adam Can Converge Without Any Modification On Update Rules.

Yushun Zhang, Congliang Chen, Naichen Shi, Ruoyu Sun, Zhi-Quan Luo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning.

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

CoRR, 2021

Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning.

Naichen Shi, Fan Lai, Raed Al Kontar, Mosharaf Chowdhury

CoRR, 2021

ScrofaZero: Mastering Trick-taking Poker Game Gongzhu by Deep Reinforcement Learning.

Naichen Shi, Ruichen Li, Sun Youran

CoRR, 2021

The Internet of Federated Things (IoFT).

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

IEEE Access, 2021

RMSprop converges with proper hyper-parameter.

Naichen Shi, Dawei Li, Mingyi Hong, Ruoyu Sun

Proceedings of the 9th International Conference on Learning Representations, 2021