| Neural tangent kernels, transportation mappings, and universal approximation Z Ji, M Telgarsky, R Xian International Conference on Learning Representations, 2020 | 60* | 2020 |
| Fair and Optimal Classification via Post-Processing R Xian, L Yin, H Zhao Proceedings of the 40th International Conference on Machine Learning, 2023 | 35 | 2023 |
| Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective Y Hu, R Xian, Q Wu, Q Fan, L Yin, H Zhao Advances in Neural Information Processing Systems 36, 2023 | 34 | 2023 |
| Learning List-Level Domain-Invariant Representations for Ranking R Xian, H Zhuang, Z Qin, H Zamani, J Lu, J Ma, K Hui, H Zhao, X Wang, ... Advances in Neural Information Processing Systems 36, 2023 | 8 | 2023 |
| Cross-Lingual Transfer with Class-Weighted Language-Invariant Representations R Xian, H Ji, H Zhao International Conference on Learning Representations, 2022 | 4 | 2022 |
| Optimal Group Fair Classifiers from Linear Post-Processing R Xian, H Zhao arXiv preprint arXiv:2405.04025, 2024 | 2 | 2024 |
| Differentially Private Post-Processing for Fair Regression R Xian, Q Li, G Kamath, H Zhao Proceedings of the 41st International Conference on Machine Learning, 2024 | 2 | 2024 |
