Zeyu Jia

According to our database, Zeyu Jia authored at least 24 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Gaussian Sequence Model: Sample Complexities of Testing, Estimation and LFHT.

Zeyu Jia, Yury Polyanskiy

CoRR, July, 2025

Outcome-Based Online Reinforcement Learning: Algorithms and Fundamental Limits.

Fan Chen, Zeyu Jia, Alexander Rakhlin, Tengyang Xie

CoRR, May, 2025

Trajectory Bellman Residual Minimization: A Simple Value-Based Method for LLM Reasoning.

Yurun Yuan, Fan Chen, Zeyu Jia, Alexander Rakhlin, Tengyang Xie

CoRR, May, 2025

Do We Need to Verify Step by Step? Rethinking Process Supervision from a Theoretical Perspective.

Zeyu Jia, Alexander Rakhlin, Tengyang Xie

CoRR, February, 2025

Ensuring resilience in active distribution networks: A security-constrained robust approach with energy storage and demand response.

Shulin Liu, Zeyu Jia, Tingting Liu

J. Comput. Methods Sci. Eng., 2025

On the Minimax Regret of Sequential Probability Assignment via Square-Root Entropy.

Zeyu Jia, Alexander Rakhlin, Yury Polyanskiy

Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

2024

How Does Variance Shape the Regret in Contextual Bandits?

Zeyu Jia, Jian Qian, Alexander Rakhlin, Chen-Yu Wei

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data.

Zeyu Jia, Alexander Rakhlin, Ayush Sekhari, Chen-Yu Wei

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

When is Agnostic Reinforcement Learning Statistically Tractable?

Zeyu Jia, Gene Li, Alexander Rakhlin, Ayush Sekhari, Nati Srebro

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

Entropic characterization of optimal rates for learning Gaussian mixtures.

Zeyu Jia, Yury Polyanskiy, Yihong Wu

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Linear Reinforcement Learning with Ball Structure Action Space.

Zeyu Jia, Randy Jia, Dhruv Madeka, Dean P. Foster

Proceedings of the International Conference on Algorithmic Learning Theory, 2023

2022

Bandwidth Optimization of MEMS Accelerometers in Fluid Medium Environment.

Xiang Xu, Shuang Wu, Weidong Fang, Zhe Yu, Zeyu Jia, Xiaoxu Wang, Jian Bai, Qianbo Lu

Sensors, 2022

Intrinsic Dimension Estimation Using Wasserstein Distance.

Adam Block, Zeyu Jia, Yury Polyanskiy, Alexander Rakhlin

J. Mach. Learn. Res., 2022

Rate of convergence of the smoothed empirical Wasserstein distance.

Adam Block, Zeyu Jia, Yury Polyanskiy, Alexander Rakhlin

CoRR, 2022

2021

Search Direction Correction with Normalized Gradient Makes First-Order Methods Faster.

Yifei Wang, Zeyu Jia, Zaiwen Wen

SIAM J. Sci. Comput., 2021

The application of machine learning algorithms in predicting the length of stay following femoral neck fracture.

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

Int. J. Medical Informatics, 2021

Intrinsic Dimension Estimation.

Adam Block, Zeyu Jia, Yury Polyanskiy, Alexander Rakhlin

CoRR, 2021

Identification of Key Gene Modules and Hub Genes of Hypertension Based on WGCNA Algorithm.

Zongjin Li, Changxin Song, Zeyu Jia, Dong Chen, Yan Liang

Proceedings of the BIBE 2021: The Fifth International Conference on Biological Information and Biomedical Engineering, 2021

2020

Towards solving 2-TBSG efficiently.

Zeyu Jia, Zaiwen Wen, Yinyu Ye

Optim. Methods Softw., 2020

Model-Based Reinforcement Learning with Value-Targeted Regression.

Zeyu Jia, Lin Yang, Csaba Szepesvári, Mengdi Wang

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation.

Yaqi Duan, Zeyu Jia, Mengdi Wang

Proceedings of the 37th International Conference on Machine Learning, 2020

Model-Based Reinforcement Learning with Value-Targeted Regression.

Alex Ayoub, Zeyu Jia, Csaba Szepesvári, Mengdi Wang, Lin Yang

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Toward Solving 2-TBSG Efficiently.

Zeyu Jia, Zaiwen Wen, Yinyu Ye

CoRR, 2019

Feature-Based Q-Learning for Two-Player Stochastic Games.

Zeyu Jia, Lin F. Yang, Mengdi Wang

CoRR, 2019