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Understanding overfitting peaks in generalization error: Analytical risk
  curves for $l_2$ and $l_1$ penalized interpolation

Understanding overfitting peaks in generalization error: Analytical risk curves for l2l_2l2​ and l1l_1l1​ penalized interpolation

9 June 2019
P. Mitra
ArXivPDFHTML

Papers citing "Understanding overfitting peaks in generalization error: Analytical risk curves for $l_2$ and $l_1$ penalized interpolation"

12 / 12 papers shown
Title
Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic Perspective
Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic Perspective
Masaaki Takada
Hironori Fujisawa
18
1
0
30 Aug 2023
Implicit Regularization Leads to Benign Overfitting for Sparse Linear
  Regression
Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression
Mo Zhou
Rong Ge
27
2
0
01 Feb 2023
Regularization-wise double descent: Why it occurs and how to eliminate
  it
Regularization-wise double descent: Why it occurs and how to eliminate it
Fatih Yilmaz
Reinhard Heckel
25
11
0
03 Jun 2022
Classification and Adversarial examples in an Overparameterized Linear
  Model: A Signal Processing Perspective
Classification and Adversarial examples in an Overparameterized Linear Model: A Signal Processing Perspective
Adhyyan Narang
Vidya Muthukumar
A. Sahai
SILM
AAML
36
1
0
27 Sep 2021
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of
  Overparameterized Machine Learning
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning
Yehuda Dar
Vidya Muthukumar
Richard G. Baraniuk
29
71
0
06 Sep 2021
Learning curves of generic features maps for realistic datasets with a
  teacher-student model
Learning curves of generic features maps for realistic datasets with a teacher-student model
Bruno Loureiro
Cédric Gerbelot
Hugo Cui
Sebastian Goldt
Florent Krzakala
M. Mézard
Lenka Zdeborová
30
135
0
16 Feb 2021
Understanding Double Descent Requires a Fine-Grained Bias-Variance
  Decomposition
Understanding Double Descent Requires a Fine-Grained Bias-Variance Decomposition
Ben Adlam
Jeffrey Pennington
UD
37
93
0
04 Nov 2020
On the proliferation of support vectors in high dimensions
On the proliferation of support vectors in high dimensions
Daniel J. Hsu
Vidya Muthukumar
Ji Xu
24
42
0
22 Sep 2020
Double Double Descent: On Generalization Errors in Transfer Learning
  between Linear Regression Tasks
Double Double Descent: On Generalization Errors in Transfer Learning between Linear Regression Tasks
Yehuda Dar
Richard G. Baraniuk
28
19
0
12 Jun 2020
Classification vs regression in overparameterized regimes: Does the loss
  function matter?
Classification vs regression in overparameterized regimes: Does the loss function matter?
Vidya Muthukumar
Adhyyan Narang
Vignesh Subramanian
M. Belkin
Daniel J. Hsu
A. Sahai
41
148
0
16 May 2020
Asymptotic errors for convex penalized linear regression beyond Gaussian
  matrices
Asymptotic errors for convex penalized linear regression beyond Gaussian matrices
Cédric Gerbelot
A. Abbara
Florent Krzakala
26
16
0
11 Feb 2020
Exact expressions for double descent and implicit regularization via
  surrogate random design
Exact expressions for double descent and implicit regularization via surrogate random design
Michal Derezinski
Feynman T. Liang
Michael W. Mahoney
16
77
0
10 Dec 2019
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