Sparse sliced inverse regression via lasso Q Lin, Z Zhao, JS Liu
Journal of the American Statistical Association, 2019
102 2019 On consistency and sparsity for sliced inverse regression in high dimensions Q Lin, Z Zhao, JS Liu
The Annals of Statistics 46 (2), 580-610, 2018
97 2018 Randomization inference for peer effects X Li, P Ding, Q Lin, D Yang, JS Liu
Journal of the American Statistical Association, 2019
29 2019 On the optimality of sliced inverse regression in high dimensions Q Lin, X Li, D Huang, JS Liu
The Annals of Statistics 49 (1), 2021
26 * 2021 On the Saturation Effect of Kernel Ridge Regression Y Li, H Zhang, Q Lin
International Conference on Learning Representations, 2023
17 2023 Signed support recovery for single index models in high-dimensions M Neykov, Q Lin, JS Liu
arXiv preprint arXiv:1511.02270, 2015
16 2015 Generalization Ability of Wide Neural Networks on J Lai, M Xu, R Chen, Q Lin
arXiv preprint arXiv:2302.05933, 2023
14 2023 Quadratic Deformations of Lie–Poisson Structures Q Lin, Z Liu, Y Sheng
Letters in Mathematical Physics 83 (3), 217-229, 2008
12 2008 On the Optimality of Misspecified Kernel Ridge Regression H Zhang, Y Li, W Lu, Q Lin
arXiv preprint arXiv:2305.07241, 2023
11 2023 Isogeny orbits in a family of abelian varieties Q Lin, MX Wang
arXiv preprint arXiv:1403.3976, 2014
11 2014 Kernel interpolation generalizes poorly Y Li, H Zhang, Q Lin
arXiv preprint arXiv:2303.15809, 2023
9 2023 Statistical optimality of deep wide neural networks Y Li, Z Yu, G Chen, Q Lin
arXiv preprint arXiv:2305.02657, 2023
7 2023 Highest weight modules at the critical level and noncommutative Springer resolution R Bezrukavnikov, Q Lin
Algebraic groups and quantum groups 565, 15-27, 2012
7 2012 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 Generalization Ability of Wide Residual Networks J Lai, Z Yu, S Tian, Q Lin
arXiv preprint arXiv:2305.18506, 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 On the Optimality of Functional Sliced Inverse Regression R Chen, S Tian, D Huang, Q Lin, JS Liu
arXiv preprint arXiv:2307.02777, 2023
1 2023 Sliced Inverse Regression with Large Structural Dimensions D Huang, S Tian, Q Lin
arXiv preprint arXiv:2305.04340, 2023
1 2023