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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
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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
Jiarui Xie
Y. Zhao
40
0
0
30 Apr 2025
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
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
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
David X. Wu
A. Sahai
21
2
0
23 Jun 2023
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
Shilong Bao
Qianqian Xu
Zhiyong Yang
Yuan He
Xiaochun Cao
Qingming Huang
20
8
0
30 Sep 2022
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
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
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
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
Stéphane dÁscoli
Maria Refinetti
Giulio Biroli
Florent Krzakala
83
152
0
02 Mar 2020
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