| On the saturation effect of kernel ridge regression Y Li, H Zhang, Q Lin The Eleventh International Conference on Learning Representations, 2022 | 17 | 2022 |
| On the optimality of misspecified kernel ridge regression H Zhang, Y Li, W Lu, Q Lin International Conference on Machine Learning, 41331-41353, 2023 | 11 | 2023 |
| Kernel interpolation generalizes poorly Y Li, H Zhang, Q Lin arXiv preprint arXiv:2303.15809, 2023 | 9 | 2023 |
| On the eigenvalue decay rates of a class of neural-network related kernel functions defined on general domains Y Li, Z Yu, G Chen, Q Lin arXiv preprint arXiv:2305.02657, 2023 | 7* | 2023 |
| On the asymptotic learning curves of kernel ridge regression under power-law decay Y Li, H Zhang, Q Lin Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
| On the optimality of misspecified spectral algorithms H Zhang, Y Li, Q Lin arXiv preprint arXiv:2303.14942, 2023 | 6 | 2023 |
| Optimal rate of kernel regression in large dimensions W Lu, H Zhang, Y Li, M Xu, Q Lin arXiv preprint arXiv:2309.04268, 2023 | 2 | 2023 |
| Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions H Zhang, Y Li, W Lu, Q Lin arXiv preprint arXiv:2401.01270, 2024 | 1 | 2024 |
| Generalization Error Curves for Analytic Spectral Algorithms under Power-law Decay Y Li, W Gan, Z Shi, Q Lin arXiv preprint arXiv:2401.01599, 2024 | | 2024 |
Lin QianTsinghua UniversityVerified email at mail.tsinghua.edu.cn
