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2207.11621
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A Universal Trade-off Between the Model Size, Test Loss, and Training Loss of Linear Predictors
23 July 2022
Nikhil Ghosh
M. Belkin
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Papers citing
"A Universal Trade-off Between the Model Size, Test Loss, and Training Loss of Linear Predictors"
9 / 9 papers shown
Title
Feature maps for the Laplacian kernel and its generalizations
Sudhendu Ahir
Parthe Pandit
60
0
0
24 Feb 2025
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality
Marko Medvedev
Gal Vardi
Nathan Srebro
68
3
0
05 Sep 2024
Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization
Yutong Wang
Rishi Sonthalia
Wei Hu
46
5
0
12 Mar 2024
More is Better in Modern Machine Learning: when Infinite Overparameterization is Optimal and Overfitting is Obligatory
James B. Simon
Dhruva Karkada
Nikhil Ghosh
Mikhail Belkin
AI4CE
BDL
37
14
0
24 Nov 2023
Noisy Interpolation Learning with Shallow Univariate ReLU Networks
Nirmit Joshi
Gal Vardi
Nathan Srebro
32
8
0
28 Jul 2023
Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension
Moritz Haas
David Holzmüller
U. V. Luxburg
Ingo Steinwart
MLT
35
14
0
23 May 2023
Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization
Spencer Frei
Gal Vardi
Peter L. Bartlett
Nathan Srebro
30
22
0
02 Mar 2023
Foolish Crowds Support Benign Overfitting
Niladri S. Chatterji
Philip M. Long
83
20
0
06 Oct 2021
When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning?
Gavin Brown
Mark Bun
Vitaly Feldman
Adam D. Smith
Kunal Talwar
253
93
0
11 Dec 2020
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