On the saturation effect of kernel ridge regression Y Li, H Zhang, Q Lin (ICLR) International Conference on Learning Representations, 2023, 2024 | 16 | 2024 |
On the Optimality of Misspecified Kernel Ridge Regression H Zhang, Y Li, W Lu, Q Lin (ICML) International Conference on Machine Learning, 2023, 2023 | 14 | 2023 |
Kernel interpolation generalizes poorly Y Li, H Zhang, Q Lin Biometrika 111 (2), 715-722, 2024 | 9 | 2024 |
On the optimality of misspecified spectral algorithms H Zhang, Y Li, Q Lin Journal of Machine Learning Research 25 (188), 1-50, 2024 | 8 | 2024 |
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 | 8 | 2024 |
Optimal rate of kernel regression in large dimensions W Lu, H Zhang, Y Li, M Xu, Q Lin arXiv preprint arXiv:2309.04268, 2023 | 4 | 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 |