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1906.03667
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Understanding overfitting peaks in generalization error: Analytical risk curves for
l
2
l_2
l
2
and
l
1
l_1
l
1
penalized interpolation
9 June 2019
P. Mitra
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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
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Hironori Fujisawa
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1
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30 Aug 2023
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
Fatih Yilmaz
Reinhard Heckel
25
11
0
03 Jun 2022
Classification and Adversarial examples in an Overparameterized Linear Model: A Signal Processing Perspective
Adhyyan Narang
Vidya Muthukumar
A. Sahai
SILM
AAML
33
1
0
27 Sep 2021
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
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
Ben Adlam
Jeffrey Pennington
UD
32
93
0
04 Nov 2020
On the proliferation of support vectors in high dimensions
Daniel J. Hsu
Vidya Muthukumar
Ji Xu
22
42
0
22 Sep 2020
Double Double Descent: On Generalization Errors in Transfer Learning between Linear Regression Tasks
Yehuda Dar
Richard G. Baraniuk
23
19
0
12 Jun 2020
Classification vs regression in overparameterized regimes: Does the loss function matter?
Vidya Muthukumar
Adhyyan Narang
Vignesh Subramanian
M. Belkin
Daniel J. Hsu
A. Sahai
36
148
0
16 May 2020
Asymptotic errors for convex penalized linear regression beyond Gaussian matrices
Cédric Gerbelot
A. Abbara
Florent Krzakala
18
16
0
11 Feb 2020
Exact expressions for double descent and implicit regularization via surrogate random design
Michal Derezinski
Feynman T. Liang
Michael W. Mahoney
11
77
0
10 Dec 2019
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