| 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 (ICML) International Conference on Machine Learning, 2023, 2023 | 11 | 2023 |
| Kernel interpolation generalizes poorly Y Li, H Zhang, Q Lin arXiv preprint arXiv:2303.15809, 2023 | 9 | 2023 |
| On the asymptotic learning curves of kernel ridge regression under power-law decay Y Li, 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 |
| The phase diagram of kernel interpolation in large dimensions H Zhang, W Lu, Q Lin arXiv preprint arXiv:2404.12597, 2024 | | 2024 |
Lin QianTsinghua UniversityVerified email at mail.tsinghua.edu.cn
