Zeyu Jia

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Trajectory Data

Learning Algorithm

Reinforcement Learning

Intrinsic Dimension

Top Venues

Publications

Zeyu Jia, Alexander Rakhlin, Ayush Sekhari, Chen-Yu Wei
Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data. COLT (2024)
Zeyu Jia, Alexander Rakhlin, Ayush Sekhari, Chen-Yu Wei
Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data. CoRR (2024)
Zeyu Jia, Randy Jia, Dhruv Madeka, Dean P. Foster
Linear Reinforcement Learning with Ball Structure Action Space. ALT (2023)
Zeyu Jia, Gene Li, Alexander Rakhlin, Ayush Sekhari, Nati Srebro
When is Agnostic Reinforcement Learning Statistically Tractable? NeurIPS (2023)
Zeyu Jia, Yury Polyanskiy, Yihong Wu
Entropic characterization of optimal rates for learning Gaussian mixtures. CoRR (2023)
Zeyu Jia, Yury Polyanskiy, Yihong Wu
Entropic characterization of optimal rates for learning Gaussian mixtures. COLT (2023)
Zeyu Jia, Gene Li, Alexander Rakhlin, Ayush Sekhari, Nathan Srebro
When is Agnostic Reinforcement Learning Statistically Tractable? CoRR (2023)
Adam Block, Zeyu Jia, Yury Polyanskiy, Alexander Rakhlin
Rate of convergence of the smoothed empirical Wasserstein distance. CoRR (2022)
Zeyu Jia, Randy Jia, Dhruv Madeka, Dean P. Foster
Linear Reinforcement Learning with Ball Structure Action Space. CoRR (2022)
Adam Block, Zeyu Jia, Yury Polyanskiy, Alexander Rakhlin
Intrinsic Dimension Estimation Using Wasserstein Distance. J. Mach. Learn. Res. 23 (2022)
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) (2022)
Yifei Wang, Zeyu Jia, Zaiwen Wen
Search Direction Correction with Normalized Gradient Makes First-Order Methods Faster. SIAM J. Sci. Comput. 43 (5) (2021)
Adam Block, Zeyu Jia, Yury Polyanskiy, Alexander Rakhlin
Intrinsic Dimension Estimation. CoRR (2021)
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 (2021)
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)
Yaqi Duan, Zeyu Jia, Mengdi Wang
Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation. ICML (2020)
Zeyu Jia, Lin Yang, Csaba Szepesvári, Mengdi Wang
Model-Based Reinforcement Learning with Value-Targeted Regression. L4DC (2020)
Alex Ayoub, Zeyu Jia, Csaba Szepesvári, Mengdi Wang, Lin F. Yang
Model-Based Reinforcement Learning with Value-Targeted Regression. CoRR (2020)
Alex Ayoub, Zeyu Jia, Csaba Szepesvári, Mengdi Wang, Lin Yang
Model-Based Reinforcement Learning with Value-Targeted Regression. ICML (2020)
Zeyu Jia, Zaiwen Wen, Yinyu Ye
Towards solving 2-TBSG efficiently. Optim. Methods Softw. 35 (4) (2020)
Zeyu Jia, Zaiwen Wen, Yinyu Ye
Toward Solving 2-TBSG Efficiently. CoRR (2019)
Zeyu Jia, Lin F. Yang, Mengdi Wang
Feature-Based Q-Learning for Two-Player Stochastic Games. CoRR (2019)