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Kernel interpolation generalizes poorly

Kernel interpolation generalizes poorly

28 March 2023
Yicheng Li
Haobo Zhang
Qian Lin
ArXivPDFHTML

Papers citing "Kernel interpolation generalizes poorly"

10 / 10 papers shown
Title
Sobolev norm inconsistency of kernel interpolation
Sobolev norm inconsistency of kernel interpolation
Yunfei Yang
34
0
0
29 Apr 2025
On the Pinsker bound of inner product kernel regression in large
  dimensions
On the Pinsker bound of inner product kernel regression in large dimensions
Weihao Lu
Jialin Ding
Haobo Zhang
Qian Lin
47
0
0
02 Sep 2024
The phase diagram of kernel interpolation in large dimensions
The phase diagram of kernel interpolation in large dimensions
Haobo Zhang
Weihao Lu
Qian Lin
52
5
0
19 Apr 2024
Characterizing Overfitting in Kernel Ridgeless Regression Through the
  Eigenspectrum
Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum
Tin Sum Cheng
Aurélien Lucchi
Anastasis Kratsios
David Belius
32
7
0
02 Feb 2024
Generalization Error Curves for Analytic Spectral Algorithms under
  Power-law Decay
Generalization Error Curves for Analytic Spectral Algorithms under Power-law Decay
Yicheng Li
Weiye Gan
Zuoqiang Shi
Qian Lin
25
5
0
03 Jan 2024
On the Asymptotic Learning Curves of Kernel Ridge Regression under
  Power-law Decay
On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay
Yicheng Li
Hao Zhang
Qian Lin
21
12
0
23 Sep 2023
Optimal Rate of Kernel Regression in Large Dimensions
Optimal Rate of Kernel Regression in Large Dimensions
Weihao Lu
Hao Zhang
Yicheng Li
Manyun Xu
Qian Lin
31
5
0
08 Sep 2023
Generalization Ability of Wide Residual Networks
Generalization Ability of Wide Residual Networks
Jianfa Lai
Zixiong Yu
Songtao Tian
Qian Lin
14
4
0
29 May 2023
Mind the spikes: Benign overfitting of kernels and neural networks in
  fixed dimension
Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension
Moritz Haas
David Holzmüller
U. V. Luxburg
Ingo Steinwart
MLT
27
13
0
23 May 2023
On the Eigenvalue Decay Rates of a Class of Neural-Network Related
  Kernel Functions Defined on General Domains
On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on General Domains
Yicheng Li
Zixiong Yu
Y. Cotronis
Qian Lin
53
13
0
04 May 2023
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