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Ridge Regularizaton: an Essential Concept in Data Science

Ridge Regularizaton: an Essential Concept in Data Science

30 May 2020
Trevor Hastie
ArXiv (abs)PDFHTML

Papers citing "Ridge Regularizaton: an Essential Concept in Data Science"

16 / 16 papers shown
Title
When majority rules, minority loses: bias amplification of gradient descent
When majority rules, minority loses: bias amplification of gradient descent
François Bachoc
Jérôme Bolte
Ryan Boustany
Jean-Michel Loubes
FaML
106
0
0
19 May 2025
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models
Jinxu Lin
Linwei Tao
Minjing Dong
Chang Xu
TDI
118
3
0
24 Oct 2024
Model-free Distortion Canceling and Control of Quantum Devices
Model-free Distortion Canceling and Control of Quantum Devices
A. F. Fouad
A. Youssry
A. El-Rafei
Sherif Hammad
63
2
0
13 Jul 2024
LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation
LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation
Ngoc-Du Tran
Thi-Thao Tran
Quang-Huy Nguyen
Manh-Hung Vu
Van-Truong Pham
MedImViT
237
1
0
04 Apr 2024
Failures and Successes of Cross-Validation for Early-Stopped Gradient
  Descent
Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent
Pratik Patil
Yuchen Wu
Robert Tibshirani
129
5
0
26 Feb 2024
A review of regularised estimation methods and cross-validation in
  spatiotemporal statistics
A review of regularised estimation methods and cross-validation in spatiotemporal statistics
Philipp Otto
A. Fassò
Paolo Maranzano
67
1
0
31 Jan 2024
Intriguing Properties of Data Attribution on Diffusion Models
Intriguing Properties of Data Attribution on Diffusion Models
Xiaosen Zheng
Tianyu Pang
Chao Du
Jing Jiang
Min Lin
TDI
134
26
1
01 Nov 2023
Improved Convergence Rate of Nested Simulation with LSE on Sieve
Improved Convergence Rate of Nested Simulation with LSE on Sieve
Ruoxue Liu
Liang Ding
Wei Cao
Lu Zou
35
0
0
18 Oct 2023
Generalized equivalences between subsampling and ridge regularization
Generalized equivalences between subsampling and ridge regularization
Pratik V. Patil
Jin-Hong Du
91
5
0
29 May 2023
Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation
Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation
Jin-Hong Du
Pratik V. Patil
Arun K. Kuchibhotla
86
11
0
25 Apr 2023
Optimal subsampling designs
Optimal subsampling designs
Henrik Imberg
Marina Axelson-Fisk
J. Jonasson
67
3
0
06 Apr 2023
Smart Journey in Istanbul: A Mobile Application in Smart Cities for
  Traffic Estimation by Harnessing Time Series
Smart Journey in Istanbul: A Mobile Application in Smart Cities for Traffic Estimation by Harnessing Time Series
Senem Tanberk
Mustafa Can
16
0
0
13 Dec 2022
Smooth Nested Simulation: Bridging Cubic and Square Root Convergence
  Rates in High Dimensions
Smooth Nested Simulation: Bridging Cubic and Square Root Convergence Rates in High Dimensions
Wei Cao
Yanyuan Wang
Xiaowei Zhang
21
5
0
09 Jan 2022
InfoGram and Admissible Machine Learning
InfoGram and Admissible Machine Learning
S. Mukhopadhyay
FaML
67
8
0
17 Aug 2021
The Efficient Shrinkage Path: Maximum Likelihood of Minimum MSE Risk
The Efficient Shrinkage Path: Maximum Likelihood of Minimum MSE Risk
R. Obenchain
17
9
0
09 Mar 2021
DeepShadows: Separating Low Surface Brightness Galaxies from Artifacts
  using Deep Learning
DeepShadows: Separating Low Surface Brightness Galaxies from Artifacts using Deep Learning
Dimitrios Tanoglidis
A. Ćiprijanović
A. Drlica-Wagner
61
16
0
24 Nov 2020
1