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Zeyu Jia
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2020 – today
- 2024
- [c8]Zeyu Jia, Alexander Rakhlin, Ayush Sekhari, Chen-Yu Wei:
Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data. COLT 2024: 2644-2719 - [i9]Zeyu Jia, Alexander Rakhlin, Ayush Sekhari, Chen-Yu Wei:
Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data. CoRR abs/2403.17091 (2024) - 2023
- [c7]Zeyu Jia, Randy Jia, Dhruv Madeka, Dean P. Foster:
Linear Reinforcement Learning with Ball Structure Action Space. ALT 2023: 755-775 - [c6]Zeyu Jia, Yury Polyanskiy, Yihong Wu:
Entropic characterization of optimal rates for learning Gaussian mixtures. COLT 2023: 4296-4335 - [c5]Zeyu Jia, Gene Li, Alexander Rakhlin, Ayush Sekhari, Nati Srebro:
When is Agnostic Reinforcement Learning Statistically Tractable? NeurIPS 2023 - [i8]Zeyu Jia, Yury Polyanskiy, Yihong Wu:
Entropic characterization of optimal rates for learning Gaussian mixtures. CoRR abs/2306.12308 (2023) - [i7]Zeyu Jia, Gene Li, Alexander Rakhlin, Ayush Sekhari, Nathan Srebro:
When is Agnostic Reinforcement Learning Statistically Tractable? CoRR abs/2310.06113 (2023) - 2022
- [j5]Adam Block, Zeyu Jia, Yury Polyanskiy, Alexander Rakhlin:
Intrinsic Dimension Estimation Using Wasserstein Distance. J. Mach. Learn. Res. 23: 313:1-313:37 (2022) - [j4]Xiang Xu, Shuang Wu, Weidong Fang, Zhe Yu, Zeyu Jia, Xiaoxu Wang, Jian Bai, Qianbo Lu:
Bandwidth Optimization of MEMS Accelerometers in Fluid Medium Environment. Sensors 22(24): 9855 (2022) - [i6]Adam Block, Zeyu Jia, Yury Polyanskiy, Alexander Rakhlin:
Rate of convergence of the smoothed empirical Wasserstein distance. CoRR abs/2205.02128 (2022) - [i5]Zeyu Jia, Randy Jia, Dhruv Madeka, Dean P. Foster:
Linear Reinforcement Learning with Ball Structure Action Space. CoRR abs/2211.07419 (2022) - 2021
- [j3]Hao Zhong, Bingpu Wang, Dawei Wang, Zirui Liu, Cong Xing, Yu Wu, Qiang Gao, Shibo Zhu, Haodong Qu, Zeyu Jia, Zhigang Qu, Guangzhi Ning, Shiqing Feng:
The application of machine learning algorithms in predicting the length of stay following femoral neck fracture. Int. J. Medical Informatics 155: 104572 (2021) - [j2]Yifei Wang, Zeyu Jia, Zaiwen Wen:
Search Direction Correction with Normalized Gradient Makes First-Order Methods Faster. SIAM J. Sci. Comput. 43(5): A3184-A3211 (2021) - [c4]Zongjin Li, Changxin Song, Zeyu Jia, Dong Chen, Yan Liang:
Identification of Key Gene Modules and Hub Genes of Hypertension Based on WGCNA Algorithm. BIBE 2021: 23:1-23:6 - [i4]Adam Block, Zeyu Jia, Yury Polyanskiy, Alexander Rakhlin:
Intrinsic Dimension Estimation. CoRR abs/2106.04018 (2021) - 2020
- [j1]Zeyu Jia, Zaiwen Wen, Yinyu Ye:
Towards solving 2-TBSG efficiently. Optim. Methods Softw. 35(4): 706-721 (2020) - [c3]Alex Ayoub, Zeyu Jia, Csaba Szepesvári, Mengdi Wang, Lin Yang:
Model-Based Reinforcement Learning with Value-Targeted Regression. ICML 2020: 463-474 - [c2]Yaqi Duan, Zeyu Jia, Mengdi Wang:
Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation. ICML 2020: 2701-2709 - [c1]Zeyu Jia, Lin Yang, Csaba Szepesvári, Mengdi Wang:
Model-Based Reinforcement Learning with Value-Targeted Regression. L4DC 2020: 666-686 - [i3]Alex Ayoub, Zeyu Jia, Csaba Szepesvári, Mengdi Wang, Lin F. Yang:
Model-Based Reinforcement Learning with Value-Targeted Regression. CoRR abs/2006.01107 (2020)
2010 – 2019
- 2019
- [i2]Zeyu Jia, Lin F. Yang, Mengdi Wang:
Feature-Based Q-Learning for Two-Player Stochastic Games. CoRR abs/1906.00423 (2019) - [i1]Zeyu Jia, Zaiwen Wen, Yinyu Ye:
Toward Solving 2-TBSG Efficiently. CoRR abs/1906.03553 (2019)
Coauthor Index
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