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Kernel Methods and Multi-layer Perceptrons Learn Linear Models in High
  Dimensions

Kernel Methods and Multi-layer Perceptrons Learn Linear Models in High Dimensions

20 January 2022
Mojtaba Sahraee-Ardakan
M. Emami
Parthe Pandit
S. Rangan
A. Fletcher
ArXiv (abs)PDFHTML

Papers citing "Kernel Methods and Multi-layer Perceptrons Learn Linear Models in High Dimensions"

7 / 7 papers shown
Implicit Regularization Paths of Weighted Neural Representations
Implicit Regularization Paths of Weighted Neural RepresentationsNeural Information Processing Systems (NeurIPS), 2024
Jin-Hong Du
Pratik Patil
287
0
0
28 Aug 2024
Thermodynamic limit in learning period three
Thermodynamic limit in learning period three
Yuichiro Terasaki
Kohei Nakajima
591
4
0
12 May 2024
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
294
6
0
08 Sep 2023
Generalized equivalences between subsampling and ridge regularization
Generalized equivalences between subsampling and ridge regularizationNeural Information Processing Systems (NeurIPS), 2023
Pratik V. Patil
Jin-Hong Du
371
6
0
29 May 2023
Bayes-optimal Learning of Deep Random Networks of Extensive-width
Bayes-optimal Learning of Deep Random Networks of Extensive-widthInternational Conference on Machine Learning (ICML), 2023
Hugo Cui
Florent Krzakala
Lenka Zdeborová
BDL
462
48
0
01 Feb 2023
Overparameterized random feature regression with nearly orthogonal data
Overparameterized random feature regression with nearly orthogonal dataInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Zhichao Wang
Yizhe Zhu
417
9
0
11 Nov 2022
Towards Data-Algorithm Dependent Generalization: a Case Study on
  Overparameterized Linear Regression
Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear RegressionNeural Information Processing Systems (NeurIPS), 2022
Jing Xu
Jiaye Teng
Yang Yuan
Andrew Chi-Chih Yao
451
3
0
12 Feb 2022
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