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Least Squares Regression Can Exhibit Under-Parameterized Double Descent
v1v2 (latest)

Least Squares Regression Can Exhibit Under-Parameterized Double Descent

Neural Information Processing Systems (NeurIPS), 2023
24 May 2023
Xinyue Li
Rishi Sonthalia
ArXiv (abs)PDFHTML

Papers citing "Least Squares Regression Can Exhibit Under-Parameterized Double Descent"

5 / 5 papers shown
Title
Matricial Free Energy as a Gaussianizing Regularizer: Enhancing Autoencoders for Gaussian Code Generation
Matricial Free Energy as a Gaussianizing Regularizer: Enhancing Autoencoders for Gaussian Code Generation
Rishi Sonthalia
Raj Rao Nadakuditi
64
0
0
20 Oct 2025
Low Rank Gradients and Where to Find Them
Low Rank Gradients and Where to Find Them
Rishi Sonthalia
Michael Murray
Guido Montúfar
100
2
0
01 Oct 2025
Generalization for Least Squares Regression With Simple Spiked
  Covariances
Generalization for Least Squares Regression With Simple Spiked Covariances
Jiping Li
Rishi Sonthalia
175
1
0
17 Oct 2024
Near-Interpolators: Rapid Norm Growth and the Trade-Off between
  Interpolation and Generalization
Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and GeneralizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Yutong Wang
Rishi Sonthalia
Wei Hu
244
7
0
12 Mar 2024
Towards fully covariant machine learning
Towards fully covariant machine learning
Soledad Villar
D. Hogg
Weichi Yao
George A. Kevrekidis
Bernhard Schölkopf
AI4CE
255
13
0
31 Jan 2023
1