| Non-stationary bandits with knapsacks S Liu, J Jiang, X Li Advances in Neural Information Processing Systems 35, 16522-16532, 2022 | 24 | 2022 |
| Maximum optimality margin: A unified approach for contextual linear programming and inverse linear programming C Sun, S Liu, X Li International Conference on Machine Learning, 32886-32912, 2023 | 11 | 2023 |
| Understanding uncertainty sampling S Liu, X Li arXiv preprint arXiv:2307.02719, 2023 | 6 | 2023 |
| When No-Rejection Learning is Consistent for Regression with Rejection X Li, S Liu, C Sun, H Wang International Conference on Artificial Intelligence and Statistics, 1126-1134, 2024 | 5* | 2024 |
| Towards Better Statistical Understanding of Watermarking LLMs Z Cai, S Liu, H Wang, H Zhong, X Li arXiv preprint arXiv:2403.13027, 2024 | 5 | 2024 |
| Online bin packing with known T S Liu, X Li arXiv preprint arXiv:2112.03200, 2021 | 5 | 2021 |
| Distribution-free model-agnostic regression calibration via nonparametric methods S Liu, Z Cai, X Li Advances in Neural Information Processing Systems 36, 53624-53661, 2023 | 4 | 2023 |
| Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification S Liu, Z Cai, G Chen, X Li arXiv preprint arXiv:2405.15115, 2024 | 1 | 2024 |
| Understanding the Training and Generalization of Pretrained Transformer for Sequential Decision Making H Wang, Y Pan, F Sun, S Liu, K Talluri, G Chen, X Li arXiv preprint arXiv:2405.14219, 2024 | 1 | 2024 |
| Reward Modeling with Ordinal Feedback: Wisdom of the Crowd S Liu, Y Pan, G Chen, X Li arXiv preprint arXiv:2411.12843, 2024 | | 2024 |
Xiaocheng LiImperial College Business School, Imperial College LondonVerified email at imperial.ac.uk
