Jiachen Hu

According to our database, Jiachen Hu authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

2024

On Limitation of Transformer for Learning HMMs.

Jiachen Hu, Qinghua Liu, Chi Jin

CoRR, 2024

Quantum Non-Identical Mean Estimation: Efficient Algorithms and Fundamental Limits.

Jiachen Hu, Tongyang Li, Xinzhao Wang, Yecheng Xue, Chenyi Zhang, Han Zhong

Proceedings of the 19th Conference on the Theory of Quantum Computation, 2024

Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret.

Han Zhong, Jiachen Hu, Yecheng Xue, Tongyang Li, Liwei Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

ZeroSwap: Data-driven Optimal Market Making in DeFi.

Viraj Nadkarni, Jiachen Hu, Ranvir Rana, Chi Jin, Sanjeev R. Kulkarni, Pramod Viswanath

CoRR, 2023

Provable Sim-to-real Transfer in Continuous Domain with Partial Observations.

Jiachen Hu, Han Zhong, Chi Jin, Liwei Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Understanding Domain Randomization for Sim-to-real Transfer.

Xiaoyu Chen, Jiachen Hu, Chi Jin, Lihong Li, Liwei Wang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver.

Xiaoyu Chen, Jiachen Hu, Lin Yang, Liwei Wang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Near-Optimal Representation Learning for Linear Bandits and Linear RL.

Jiachen Hu, Xiaoyu Chen, Chi Jin, Lihong Li, Liwei Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL.

Xiaoyu Chen, Jiachen Hu, Lihong Li, Liwei Wang

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

2020

Generative Adversarial Network Using Multi-modal Guidance for Ultrasound Images Inpainting.

Ruiguo Yu, Jiachen Hu, Xi Wei, Mei Yu, Jialin Zhu, Jie Gao, Zhiqiang Liu, Xuewei Li

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication.

Yuanhao Wang, Jiachen Hu, Xiaoyu Chen, Liwei Wang

Proceedings of the 8th International Conference on Learning Representations, 2020

Boundary-aware Segmentation Network Using Multi-Task Enhancement for Ultrasound Image.

Ruiguo Yu, Jiachen Hu, Mei Yu, Xi Wei, Han Jiang, Jialin Zhu, Zhiqiang Liu, Jie Gao, Xuewei Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Distributed Bandit Learning: How Much Communication is Needed to Achieve (Near) Optimal Regret.

Yuanhao Wang, Jiachen Hu, Xiaoyu Chen, Liwei Wang

CoRR, 2019