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Generalized equivalences between subsampling and ridge regularization

Generalized equivalences between subsampling and ridge regularization

29 May 2023
Pratik V. Patil
Jin-Hong Du
ArXivPDFHTML

Papers citing "Generalized equivalences between subsampling and ridge regularization"

8 / 8 papers shown
Title
Dataset Distillation from First Principles: Integrating Core Information
  Extraction and Purposeful Learning
Dataset Distillation from First Principles: Integrating Core Information Extraction and Purposeful Learning
Vyacheslav Kungurtsev
Yuanfang Peng
Jianyang Gu
Saeed Vahidian
Anthony Quinn
Fadwa Idlahcen
Yiran Chen
FedML
DD
44
2
0
02 Sep 2024
Implicit Regularization Paths of Weighted Neural Representations
Implicit Regularization Paths of Weighted Neural Representations
Jin-Hong Du
Pratik Patil
27
0
0
28 Aug 2024
More is Better in Modern Machine Learning: when Infinite
  Overparameterization is Optimal and Overfitting is Obligatory
More is Better in Modern Machine Learning: when Infinite Overparameterization is Optimal and Overfitting is Obligatory
James B. Simon
Dhruva Karkada
Nikhil Ghosh
Mikhail Belkin
AI4CE
BDL
34
13
0
24 Nov 2023
Asymptotically free sketched ridge ensembles: Risks, cross-validation,
  and tuning
Asymptotically free sketched ridge ensembles: Risks, cross-validation, and tuning
Filip Szatkowski
Daniel LeJeune
27
9
0
06 Oct 2023
Corrected generalized cross-validation for finite ensembles of penalized
  estimators
Corrected generalized cross-validation for finite ensembles of penalized estimators
Pierre C. Bellec
Jin-Hong Du
Takuya Koriyama
Pratik Patil
Kai Tan
28
4
0
02 Oct 2023
Mitigating multiple descents: A model-agnostic framework for risk
  monotonization
Mitigating multiple descents: A model-agnostic framework for risk monotonization
Pratik V. Patil
Arun K. Kuchibhotla
Yuting Wei
Alessandro Rinaldo
32
8
0
25 May 2022
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
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,660
0
05 Dec 2016
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