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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

2 March 2023
Spencer Frei
Gal Vardi
Peter L. Bartlett
Nathan Srebro
ArXivPDFHTML

Papers citing "Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization"

12 / 12 papers shown
Title
Gradient Descent Robustly Learns the Intrinsic Dimension of Data in Training Convolutional Neural Networks
Gradient Descent Robustly Learns the Intrinsic Dimension of Data in Training Convolutional Neural Networks
Chenyang Zhang
Peifeng Gao
Difan Zou
Yuan Cao
OOD
MLT
59
0
0
11 Apr 2025
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying
  Bandwidth or Dimensionality
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality
Marko Medvedev
Gal Vardi
Nathan Srebro
43
3
0
05 Sep 2024
Implicit Bias and Fast Convergence Rates for Self-attention
Implicit Bias and Fast Convergence Rates for Self-attention
Bhavya Vasudeva
Puneesh Deora
Christos Thrampoulidis
24
13
0
08 Feb 2024
Precise Asymptotic Generalization for Multiclass Classification with Overparameterized Linear Models
Precise Asymptotic Generalization for Multiclass Classification with Overparameterized Linear Models
David X. Wu
A. Sahai
6
2
0
23 Jun 2023
On the Effective Number of Linear Regions in Shallow Univariate ReLU
  Networks: Convergence Guarantees and Implicit Bias
On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias
Itay Safran
Gal Vardi
Jason D. Lee
MLT
41
23
0
18 May 2022
The Implicit Bias of Benign Overfitting
The Implicit Bias of Benign Overfitting
Ohad Shamir
91
37
0
27 Jan 2022
Tight bounds for minimum l1-norm interpolation of noisy data
Tight bounds for minimum l1-norm interpolation of noisy data
Guillaume Wang
Konstantin Donhauser
Fanny Yang
75
20
0
10 Nov 2021
Harmless interpolation in regression and classification with structured
  features
Harmless interpolation in regression and classification with structured features
Andrew D. McRae
Santhosh Karnik
Mark A. Davenport
Vidya Muthukumar
93
11
0
09 Nov 2021
On Margin Maximization in Linear and ReLU Networks
On Margin Maximization in Linear and ReLU Networks
Gal Vardi
Ohad Shamir
Nathan Srebro
37
27
0
06 Oct 2021
Towards Understanding Learning in Neural Networks with Linear Teachers
Towards Understanding Learning in Neural Networks with Linear Teachers
Roei Sarussi
Alon Brutzkus
Amir Globerson
FedML
MLT
47
20
0
07 Jan 2021
Provable Generalization of SGD-trained Neural Networks of Any Width in
  the Presence of Adversarial Label Noise
Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise
Spencer Frei
Yuan Cao
Quanquan Gu
FedML
MLT
47
18
0
04 Jan 2021
Failures of model-dependent generalization bounds for least-norm
  interpolation
Failures of model-dependent generalization bounds for least-norm interpolation
Peter L. Bartlett
Philip M. Long
78
29
0
16 Oct 2020
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