| 2025 | ICML | Hyper: Hyperparameter Robust Efficient Exploration in Reinforcement Learning. | Yiran Wang, Chenshu Liu, Yunfan Li, Sanae Amani, Bolei Zhou, Lin Yang |
| 2023 | ICLR | Provably Efficient Lifelong Reinforcement Learning with Linear Representation. | Sanae Amani, Lin Yang, Ching-An Cheng |
| 2023 | ICML | Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost. | Sanae Amani, Tor Lattimore, Andrs Gyrgy, Lin Yang |
| 2022 | CISS | Doubly Pessimistic Algorithms for Strictly Safe Off-Policy Optimization. | Sanae Amani, Lin F. Yang |
| 2021 | AAAI | Decentralized Multi-Agent Linear Bandits with Safety Constraints. | Sanae Amani, Christos Thrampoulidis |
| 2021 | CISS | Safe Linear Bandits. | Ahmadreza Moradipari, Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis |
| 2021 | ICML | Safe Reinforcement Learning with Linear Function Approximation. | Sanae Amani, Christos Thrampoulidis, Lin Yang |
| 2021 | ISIT | Regret Bounds for Safe Gaussian Process Bandit Optimization. | Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis |
| 2020 | ICASSP | Generalized Linear Bandits with Safety Constraints. | Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis |