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ORCIDYicheng Li 0004
Person information
- affiliation: Tsinghua University, Department of Statistics and Data Science, Beijing, China
Other persons with the same name
- Yicheng Li — disambiguation page
- Yicheng Li 0001
![[0000-0003-2937-7162]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2937-7162")
— Jiangsu University, Automotive Engineering Research Institute, Zhenjiang, China (and 1 more) - Yicheng Li 0002 — Fudan University, State Key Laboratory of Integrated Chips and Systems, Shanghai, China
- Yicheng Li 0003 — Sun Yat-Sen University, School of Electronics and Communication Engineering, Shenzhen, China
- Yicheng Li 0005 — Zhejiang University, Hangzhou, China
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2020 – today
- 2025
[i18]Yicheng Li, Qian Lin:
Diagonal Over-parameterization in Reproducing Kernel Hilbert Spaces as an Adaptive Feature Model: Generalization and Adaptivity. CoRR abs/2501.08679 (2025)- [i17]Weihao Lu, Haobo Zhang, Yicheng Li, Qian Lin:
On the Saturation Effects of Spectral Algorithms in Large Dimensions. CoRR abs/2503.00504 (2025) - [i16]Weiye Gan, Yicheng Li, Qian Lin, Zuoqiang Shi:
Neural Tangent Kernel of Neural Networks with Loss Informed by Differential Operators. CoRR abs/2503.11029 (2025) - [i15]Dongming Huang, Zhifan Li, Yicheng Li, Qian Lin:
Alignment-Sensitive Minimax Rates for Spectral Algorithms with Learned Kernels. CoRR abs/2509.20294 (2025) - [i14]Yicheng Li, Qian Lin:
Several Supporting Evidences for the Adaptive Feature Program. CoRR abs/2511.09425 (2025) - 2024
- [j2]Yicheng Li, Zixiong Yu, Guhan Chen, Qian Lin:
On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on General Domains. J. Mach. Learn. Res. 25: 82:1-82:47 (2024) - [j1]Haobo Zhang, Yicheng Li, Qian Lin:
On the Optimality of Misspecified Spectral Algorithms. J. Mach. Learn. Res. 25: 188:1-188:50 (2024) - [c6]Weihao Lu, Haobo Zhang, Yicheng Li, Qian Lin:
On the Saturation Effects of Spectral Algorithms in Large Dimensions. NeurIPS 2024 - [c5]Guhan Chen, Yicheng Li, Qian Lin:
On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory. NeurIPS 2024 - [c4]Yicheng Li, Qian Lin:
Improving Adaptivity via Over-Parameterization in Sequence Models. NeurIPS 2024 - [i13]Haobo Zhang, Yicheng Li, Weihao Lu, Qian Lin:
Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions. CoRR abs/2401.01270 (2024) - [i12]Yicheng Li, Weiye Gan, Zuoqiang Shi, Qian Lin:
Generalization Error Curves for Analytic Spectral Algorithms under Power-law Decay. CoRR abs/2401.01599 (2024) - [i11]Yicheng Li, Haobo Zhang, Qian Lin:
On the Saturation Effect of Kernel Ridge Regression. CoRR abs/2405.09362 (2024) - [i10]Yicheng Li, Qian Lin:
Improving Adaptivity via Over-Parameterization in Sequence Models. CoRR abs/2409.00894 (2024) - [i9]Guhan Chen, Yicheng Li, Qian Lin:
On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory. CoRR abs/2410.05626 (2024) - [i8]Haobo Zhang, Jianfa Lai, Yicheng Li, Qian Lin, Jun S. Liu:
Towards a Statistical Understanding of Neural Networks: Beyond the Neural Tangent Kernel Theories. CoRR abs/2412.18756 (2024) - 2023
- [c3]Yicheng Li, Haobo Zhang, Qian Lin:
On the Saturation Effect of Kernel Ridge Regression. ICLR 2023 - [c2]Haobo Zhang, Yicheng Li, Weihao Lu, Qian Lin:
On the Optimality of Misspecified Kernel Ridge Regression. ICML 2023: 41331-41353 - [c1]Yicheng Li, Haobo Zhang, Qian Lin:
On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay. NeurIPS 2023 - [i7]Haobo Zhang, Yicheng Li, Qian Lin:
On the Optimality of Misspecified Spectral Algorithms. CoRR abs/2303.14942 (2023) - [i6]Yicheng Li, Haobo Zhang, Qian Lin:
Kernel interpolation generalizes poorly. CoRR abs/2303.15809 (2023) - [i5]Yicheng Li, Zixiong Yu, Guhan Chen, Qian Lin:
Statistical Optimality of Deep Wide Neural Networks. CoRR abs/2305.02657 (2023) - [i4]Haobo Zhang, Yicheng Li, Weihao Lu, Qian Lin:
On the Optimality of Misspecified Kernel Ridge Regression. CoRR abs/2305.07241 (2023) - [i3]Weihao Lu, Haobo Zhang, Yicheng Li, Manyun Xu, Qian Lin:
Optimal Rate of Kernel Regression in Large Dimensions. CoRR abs/2309.04268 (2023) - [i2]Yicheng Li, Haobo Zhang, Qian Lin:
On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay. CoRR abs/2309.13337 (2023) - 2022
- [i1]Weiye Gan, Xintong Liu, Yicheng Li, Zuoqiang Shi:
A non-local gradient based approach of infinity Laplacian with Γ-convergence. CoRR abs/2202.04927 (2022)
Coauthor Index
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