ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2001.11572
  4. Cited By
Analytic Study of Double Descent in Binary Classification: The Impact of
  Loss

Analytic Study of Double Descent in Binary Classification: The Impact of Loss

30 January 2020
Ganesh Ramachandra Kini
Christos Thrampoulidis
ArXivPDFHTML

Papers citing "Analytic Study of Double Descent in Binary Classification: The Impact of Loss"

12 / 12 papers shown
Title
The Double Descent Behavior in Two Layer Neural Network for Binary Classification
The Double Descent Behavior in Two Layer Neural Network for Binary Classification
Chathurika S Abeykoon
A. Beknazaryan
Hailin Sang
51
1
0
27 Apr 2025
Gibbs-Based Information Criteria and the Over-Parameterized Regime
Gibbs-Based Information Criteria and the Over-Parameterized Regime
Haobo Chen
Yuheng Bu
Greg Wornell
24
1
0
08 Jun 2023
Gradient flow in the gaussian covariate model: exact solution of
  learning curves and multiple descent structures
Gradient flow in the gaussian covariate model: exact solution of learning curves and multiple descent structures
Antione Bodin
N. Macris
34
4
0
13 Dec 2022
Intersection of Parallels as an Early Stopping Criterion
Intersection of Parallels as an Early Stopping Criterion
Ali Vardasbi
Maarten de Rijke
Mostafa Dehghani
MoMe
33
5
0
19 Aug 2022
Learning curves for the multi-class teacher-student perceptron
Learning curves for the multi-class teacher-student perceptron
Elisabetta Cornacchia
Francesca Mignacco
R. Veiga
Cédric Gerbelot
Bruno Loureiro
Lenka Zdeborová
15
21
0
22 Mar 2022
Differentially Private Regression with Unbounded Covariates
Differentially Private Regression with Unbounded Covariates
Jason Milionis
Alkis Kalavasis
Dimitris Fotakis
Stratis Ioannidis
23
10
0
19 Feb 2022
Double Descent and Other Interpolation Phenomena in GANs
Double Descent and Other Interpolation Phenomena in GANs
Lorenzo Luzi
Yehuda Dar
Richard Baraniuk
18
5
0
07 Jun 2021
Label-Imbalanced and Group-Sensitive Classification under
  Overparameterization
Label-Imbalanced and Group-Sensitive Classification under Overparameterization
Ganesh Ramachandra Kini
Orestis Paraskevas
Samet Oymak
Christos Thrampoulidis
27
93
0
02 Mar 2021
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
36
148
0
16 May 2020
Random Features for Kernel Approximation: A Survey on Algorithms,
  Theory, and Beyond
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond
Fanghui Liu
Xiaolin Huang
Yudong Chen
Johan A. K. Suykens
BDL
34
172
0
23 Apr 2020
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy
  Regime
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime
Stéphane dÁscoli
Maria Refinetti
Giulio Biroli
Florent Krzakala
93
152
0
02 Mar 2020
A Model of Double Descent for High-dimensional Binary Linear
  Classification
A Model of Double Descent for High-dimensional Binary Linear Classification
Zeyu Deng
A. Kammoun
Christos Thrampoulidis
29
143
0
13 Nov 2019
1