Lin Qian

About Lin Qian

Lin Qian, With an exceptional h-index of 8 and a recent h-index of 7 (since 2020), a distinguished researcher at Tsinghua University, specializes in the field of statistics, mathematics.

His recent articles reflect a diverse array of research interests and contributions to the field:

The phase diagram of kernel interpolation in large dimensions

On the asymptotic learning curves of kernel ridge regression under power-law decay

The Optimality of Kernel Classifiers in Sobolev Space

Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions

On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on General Domains

Optimal rate of kernel regression in large dimensions

On the Optimality of Functional Sliced Inverse Regression

Generalization Ability of Wide Residual Networks

Lin Qian Information

University

Position

___

Citations(all)

321

Citations(since 2020)

271

Cited By

146

hIndex(all)

8

hIndex(since 2020)

7

i10Index(all)

7

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Lin Qian Skills & Research Interests

statistics

mathematics

Top articles of Lin Qian

The phase diagram of kernel interpolation in large dimensions

arXiv preprint arXiv:2404.12597

2024/4/19

On the asymptotic learning curves of kernel ridge regression under power-law decay

Advances in Neural Information Processing Systems

2024/2/13

The Optimality of Kernel Classifiers in Sobolev Space

arXiv preprint arXiv:2402.01148

2024/2/2

Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions

arXiv preprint arXiv:2401.01270

2024/1/2

On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on General Domains

Journal of Machine Learning Research

2024

Optimal rate of kernel regression in large dimensions

arXiv preprint arXiv:2309.04268

2023/9/8

On the Optimality of Functional Sliced Inverse Regression

arXiv preprint arXiv:2307.02777

2023/7/6

Generalization Ability of Wide Residual Networks

arXiv preprint arXiv:2305.18506

2023/5/29

On the Optimality of Misspecified Kernel Ridge Regression

arXiv preprint arXiv:2305.07241

2023/5/12

Sliced Inverse Regression with Large Structural Dimensions

arXiv preprint arXiv:2305.04340

2023/5/7

Statistical optimality of deep wide neural networks

arXiv preprint arXiv:2305.02657

2023/5/4

Kernel interpolation generalizes poorly

arXiv preprint arXiv:2303.15809

2023/3/28

On the optimality of misspecified spectral algorithms

arXiv preprint arXiv:2303.14942

2023/3/27

Generalization Ability of Wide Neural Networks on

arXiv preprint arXiv:2302.05933

2023/2/12

On the Saturation Effect of Kernel Ridge Regression

2023

On the optimality of sliced inverse regression in high dimensions

The Annals of Statistics

2021/2

See List of Professors in Lin Qian University(Tsinghua University)

Co-Authors

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