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v1v2 (latest)

Quantifying Overfitting along the Regularization Path for Two-Part-Code MDL in Supervised Classification

3 March 2025
Xiaohan Zhu
Nathan Srebro
ArXiv (abs)PDFHTML

Papers citing "Quantifying Overfitting along the Regularization Path for Two-Part-Code MDL in Supervised Classification"

13 / 13 papers shown
Title
Tight Bounds on the Binomial CDF, and the Minimum of i.i.d Binomials, in terms of KL-Divergence
Tight Bounds on the Binomial CDF, and the Minimum of i.i.d Binomials, in terms of KL-Divergence
Xiaohan Zhu
Mesrob I. Ohannessian
Nathan Srebro
94
2
0
25 Feb 2025
Provable Tempered Overfitting of Minimal Nets and Typical Nets
Provable Tempered Overfitting of Minimal Nets and Typical Nets
I. Harel
William M. Hoza
Gal Vardi
Itay Evron
Nathan Srebro
Daniel Soudry
AAML
29
4
0
24 Oct 2024
How Uniform Random Weights Induce Non-uniform Bias: Typical
  Interpolating Neural Networks Generalize with Narrow Teachers
How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers
G. Buzaglo
I. Harel
Mor Shpigel Nacson
Alon Brutzkus
Nathan Srebro
Daniel Soudry
124
7
0
09 Feb 2024
Noisy Interpolation Learning with Shallow Univariate ReLU Networks
Noisy Interpolation Learning with Shallow Univariate ReLU Networks
Nirmit Joshi
Gal Vardi
Nathan Srebro
107
8
0
28 Jul 2023
From Tempered to Benign Overfitting in ReLU Neural Networks
From Tempered to Benign Overfitting in ReLU Neural Networks
Guy Kornowski
Gilad Yehudai
Ohad Shamir
91
13
0
24 May 2023
Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from
  KKT Conditions for Margin Maximization
Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization
Spencer Frei
Gal Vardi
Peter L. Bartlett
Nathan Srebro
84
23
0
02 Mar 2023
Spectrum of inner-product kernel matrices in the polynomial regime and
  multiple descent phenomenon in kernel ridge regression
Spectrum of inner-product kernel matrices in the polynomial regime and multiple descent phenomenon in kernel ridge regression
Theodor Misiakiewicz
67
40
0
21 Apr 2022
Error Scaling Laws for Kernel Classification under Source and Capacity
  Conditions
Error Scaling Laws for Kernel Classification under Source and Capacity Conditions
Hugo Cui
Bruno Loureiro
Florent Krzakala
Lenka Zdeborová
111
11
0
29 Jan 2022
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds, and
  Benign Overfitting
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds, and Benign Overfitting
Frederic Koehler
Lijia Zhou
Danica J. Sutherland
Nathan Srebro
102
57
0
17 Jun 2021
The generalization error of max-margin linear classifiers: Benign
  overfitting and high dimensional asymptotics in the overparametrized regime
The generalization error of max-margin linear classifiers: Benign overfitting and high dimensional asymptotics in the overparametrized regime
Andrea Montanari
Feng Ruan
Youngtak Sohn
Jun Yan
51
16
0
05 Nov 2019
The generalization error of random features regression: Precise
  asymptotics and double descent curve
The generalization error of random features regression: Precise asymptotics and double descent curve
Song Mei
Andrea Montanari
162
640
0
14 Aug 2019
Benign Overfitting in Linear Regression
Benign Overfitting in Linear Regression
Peter L. Bartlett
Philip M. Long
Gábor Lugosi
Alexander Tsigler
MLT
126
780
0
26 Jun 2019
Surprises in High-Dimensional Ridgeless Least Squares Interpolation
Surprises in High-Dimensional Ridgeless Least Squares Interpolation
Trevor Hastie
Andrea Montanari
Saharon Rosset
Robert Tibshirani
291
747
0
19 Mar 2019
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