publications

2024

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

   Fengyu Gao, Ruiquan Huang, and Jing Yang

   In The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
2. Temporal-distributed backdoor attack against video based action recognition

   Xi Li, Songhe Wang, Ruiquan Huang, and 2 more authors

   In Proceedings of the AAAI Conference on Artificial Intelligence, 2024
3. Provably efficient ucb-type algorithms for learning predictive state representations

   Ruiquan Huang, Yingbin Liang, and Jing Yang

   12th International Conference on Learning Representations (ICLR), 2024
4. Non-asymptotic Convergence of Training Transformers for Next-token Prediction

   Ruiquan Huang, Yingbin Liang, and Jing Yang

   The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
5. Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes

   Ruiquan Huang, Yuan Cheng, Jing Yang, and 2 more authors

   12th International Conference on Learning Representations (ICLR), 2024
6. Robust Offline Reinforcement Learning for Non-Markovian Decision Processes

   Ruiquan Huang, Yingbin Liang, and Jing Yang

   arXiv preprint arXiv:2411.07514, 2024
7. Towards General Function Approximation in Nonstationary Reinforcement Learning

   Songtao Feng, Ming Yin, Ruiquan Huang, and 3 more authors

   IEEE Journal on Selected Areas in Information Theory, 2024

2023

1. Federated linear contextual bandits with user-level differential privacy

   Ruiquan Huang, Huanyu Zhang, Luca Melis, and 3 more authors

   In International Conference on Machine Learning (ICML), 2023
2. Improved sample complexity for reward-free reinforcement learning under low-rank mdps

   Yuan Cheng, Ruiquan Huang, Jing Yang, and 1 more author

   11th International Conference on Learning Representations (ICLR), 2023
3. Non-stationary reinforcement learning under general function approximation

   Songtao Feng, Ming Yin, Ruiquan Huang, and 3 more authors

   In International Conference on Machine Learning (ICML), 2023
4. Safe exploration incurs nearly no additional sample complexity for reward-free rl

   Ruiquan Huang, Jing Yang, and Yingbin Liang

   11th International Conference on Learning Representations (ICLR), 2023
5. FLORAS: Differentially private wireless federated learning using orthogonal sequences

   Xizixiang Wei, Tianhao Wang, Ruiquan Huang, and 3 more authors

   In ICC 2023-IEEE International Conference on Communications, 2023
6. Near-optimal conservative exploration in reinforcement learning under episode-wise constraints

   Donghao Li, Ruiquan Huang, Cong Shen, and 1 more author

   In International Conference on Machine Learning, 2023

2022

1. Cascading bandits with two-level feedback

   Duo Cheng, Ruiquan Huang, Cong Shen, and 1 more author

   In 2022 IEEE International Symposium on Information Theory (ISIT), 2022

2021

1. Federated linear contextual bandits

   Ruiquan Huang, Weiqiang Wu, Jing Yang, and 1 more author

   Advances in neural information processing systems, 2021