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. 2109.02355
  4. Cited By
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

6 September 2021
Yehuda Dar
Vidya Muthukumar
Richard G. Baraniuk
ArXivPDFHTML

Papers citing "A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning"

14 / 14 papers shown
Title
Redundancy Analysis and Mitigation for Machine Learning-Based Process Monitoring of Additive Manufacturing
Redundancy Analysis and Mitigation for Machine Learning-Based Process Monitoring of Additive Manufacturing
Jiarui Xie
Y. Zhao
49
0
0
30 Apr 2025
Analysis of Overparameterization in Continual Learning under a Linear Model
Analysis of Overparameterization in Continual Learning under a Linear Model
Daniel Goldfarb
Paul Hand
CLL
39
0
0
11 Feb 2025
Improved Diversity-Promoting Collaborative Metric Learning for
  Recommendation
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation
Shilong Bao
Qianqian Xu
Zhiyong Yang
Yuan He
Xiaochun Cao
Qingming Huang
45
5
0
02 Sep 2024
Understanding Emergent Abilities of Language Models from the Loss Perspective
Understanding Emergent Abilities of Language Models from the Loss Perspective
Zhengxiao Du
Aohan Zeng
Yuxiao Dong
Jie Tang
UQCV
LRM
62
46
0
23 Mar 2024
Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data
Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data
Zhiwei Xu
Yutong Wang
Spencer Frei
Gal Vardi
Wei Hu
MLT
28
23
0
04 Oct 2023
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
26
2
0
23 Jun 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
The Minority Matters: A Diversity-Promoting Collaborative Metric
  Learning Algorithm
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm
Shilong Bao
Qianqian Xu
Zhiyong Yang
Yuan He
Xiaochun Cao
Qingming Huang
30
8
0
30 Sep 2022
q-Learning in Continuous Time
q-Learning in Continuous Time
Yanwei Jia
X. Zhou
OffRL
43
67
0
02 Jul 2022
A Blessing of Dimensionality in Membership Inference through
  Regularization
A Blessing of Dimensionality in Membership Inference through Regularization
Jasper Tan
Daniel LeJeune
Blake Mason
Hamid Javadi
Richard G. Baraniuk
23
18
0
27 May 2022
Towards Size-Independent Generalization Bounds for Deep Operator Nets
Towards Size-Independent Generalization Bounds for Deep Operator Nets
Pulkit Gopalani
Sayar Karmakar
Dibyakanti Kumar
Anirbit Mukherjee
AI4CE
24
5
0
23 May 2022
Information-Theoretic Bayes Risk Lower Bounds for Realizable Models
Information-Theoretic Bayes Risk Lower Bounds for Realizable Models
M. Nokleby
Ahmad Beirami
57
1
0
08 Nov 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
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
88
152
0
02 Mar 2020
1