On the Optimality of Misspecified Spectral Algorithms

27 March 2023

Papers citing "On the Optimality of Misspecified Spectral Algorithms"

14 / 14 papers shown

Title
Sobolev norm inconsistency of kernel interpolation Yunfei Yang 34 0 0 29 Apr 2025
Diffusion-based Semi-supervised Spectral Algorithm for Regression on Manifolds Weichun Xia Jiaxin Jiang Lei Shi 16 0 0 18 Oct 2024
On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory Guhan Chen Yicheng Li Qian Lin AAML 30 1 0 08 Oct 2024
The Optimality of (Accelerated) SGD for High-Dimensional Quadratic Optimization Haihan Zhang Yuanshi Liu Qianwen Chen Cong Fang 31 0 0 15 Sep 2024
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
Improving Adaptivity via Over-Parameterization in Sequence Models Yicheng Li Qian Lin 19 1 0 02 Sep 2024
Spectral Algorithms on Manifolds through Diffusion Weichun Xia Lei Shi 16 1 0 06 Mar 2024
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 Yicheng Li Weiye Gan Zuoqiang Shi Qian Lin 20 5 0 03 Jan 2024
On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay Yicheng Li Hao Zhang Qian Lin 19 12 0 23 Sep 2023
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 Jianfa Lai Zixiong Yu Songtao Tian Qian Lin 12 4 0 29 May 2023
Kernel interpolation generalizes poorly Yicheng Li Haobo Zhang Qian Lin 21 10 0 28 Mar 2023
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks Blake Bordelon Abdulkadir Canatar C. Pehlevan 131 200 0 07 Feb 2020