Ruiquan Huang

According to our database, Ruiquan Huang authored at least 19 papers between 2021 and 2025.

Collaborative distances:

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

2025

How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias.

Ruiquan Huang, Yingbin Liang, Jing Yang

CoRR, May, 2025

Augmenting Online RL with Offline Data is All You Need: A Unified Hybrid RL Algorithm Design and Analysis.

Ruiquan Huang, Donghao Li, Chengshuai Shi, Cong Shen, Jing Yang

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

2024

Toward General Function Approximation in Nonstationary Reinforcement Learning.

Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang

IEEE J. Sel. Areas Inf. Theory, 2024

Robust Offline Reinforcement Learning for Non-Markovian Decision Processes.

Ruiquan Huang, Yingbin Liang, Jing Yang

CoRR, 2024

Non-asymptotic Convergence of Training Transformers for Next-token Prediction.

Ruiquan Huang, Yingbin Liang, Jing Yang

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

Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups.

Fengyu Gao, Ruiquan Huang, Jing Yang

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

Towards General Function Approximation in Nonstationary Reinforcement Learning.

Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang

Proceedings of the IEEE International Symposium on Information Theory, 2024

Provably Efficient UCB-type Algorithms For Learning Predictive State Representations.

Ruiquan Huang, Yingbin Liang, Jing Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes.

Ruiquan Huang, Yuan Cheng, Jing Yang, Vincent Tan, Yingbin Liang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Temporal-Distributed Backdoor Attack against Video Based Action Recognition.

Xi Li, Songhe Wang, Ruiquan Huang, Mahanth Gowda, George Kesidis

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Differentially Private Wireless Federated Learning Using Orthogonal Sequences.

Xizixiang Wei, Tianhao Wang, Ruiquan Huang, Cong Shen, Jing Yang, H. Vincent Poor

CoRR, 2023

Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints.

Donghao Li, Ruiquan Huang, Cong Shen, Jing Yang

Proceedings of the International Conference on Machine Learning, 2023

Federated Linear Contextual Bandits with User-level Differential Privacy.

Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hejazinia, Jing Yang

Proceedings of the International Conference on Machine Learning, 2023

Non-stationary Reinforcement Learning under General Function Approximation.

Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang

Proceedings of the International Conference on Machine Learning, 2023

Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL.

Ruiquan Huang, Jing Yang, Yingbin Liang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs.

Yuan Cheng, Ruiquan Huang, Yingbin Liang, Jing Yang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

FLORAS: Differentially Private Wireless Federated Learning Using Orthogonal Sequences.

Xizixiang Wei, Tianhao Wang, Ruiquan Huang, Cong Shen, Jing Yang, H. Vincent Poor

Proceedings of the IEEE International Conference on Communications, 2023

2022

Cascading Bandits with Two-Level Feedback.

Duo Cheng, Ruiquan Huang, Cong Shen, Jing Yang

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

Federated Linear Contextual Bandits.

Ruiquan Huang, Weiqiang Wu, Jing Yang, Cong Shen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021