| Distributionally robust optimization with data geometry J Liu, J Wu, B Li, P Cui Advances in neural information processing systems 35, 33689-33701, 2022 | 9 | 2022 |
| Measure the Predictive Heterogeneity J Liu, J Wu, R Pi, R Xu, X Zhang, B Li, P Cui The Eleventh International Conference on Learning Representations, 2023 | 4 | 2023 |
| Distributionally invariant learning: Rationalization and practical algorithms J Liu, J Wu, J Peng, Z Shen, B Li, P Cui arXiv preprint arXiv:2206.02990, 2022 | 2 | 2022 |
| Emergence and causality in complex systems: A survey of causal emergence and related quantitative studies B Yuan, J Zhang, A Lyu, J Wu, Z Wang, M Yang, K Liu, M Mou, P Cui Entropy 26 (2), 108, 2024 | 1 | 2024 |
| A Survey on Evaluation of Out-of-Distribution Generalization H Yu, J Liu, X Zhang, J Wu, P Cui arXiv preprint arXiv:2403.01874, 2024 | | 2024 |
| Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications J Liu, J Wu, T Wang, H Zou, B Li, P Cui arXiv preprint arXiv:2311.05054, 2023 | | 2023 |
| Predictive Heterogeneity: Measures and Applications J Liu, J Wu, B Li, P Cui arXiv preprint arXiv:2304.00305, 2023 | | 2023 |
Peng CuiDepartment of Computer Science, Tsinghua UniversityVerified email at tsinghua.edu.cn
