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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"

12 / 12 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
40
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
34
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
40
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
57
46
0
23 Mar 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
21
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
11
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
20
8
0
30 Sep 2022
q-Learning in Continuous Time
q-Learning in Continuous Time
Yanwei Jia
X. Zhou
OffRL
30
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
10
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
21
5
0
23 May 2022
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
83
152
0
02 Mar 2020
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