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Cross-validation Confidence Intervals for Test Error
v1v2 (latest)

Cross-validation Confidence Intervals for Test Error

24 July 2020
Pierre Bayle
Alexandre Bayle
Lucas Janson
Lester W. Mackey
ArXiv (abs)PDFHTML

Papers citing "Cross-validation Confidence Intervals for Test Error"

23 / 23 papers shown
Title
Stability Regularized Cross-Validation
Stability Regularized Cross-Validation
Ryan Cory-Wright
A. Gómez
48
0
0
11 May 2025
SOAK: Same/Other/All K-fold cross-validation for estimating similarity
  of patterns in data subsets
SOAK: Same/Other/All K-fold cross-validation for estimating similarity of patterns in data subsets
Toby Dylan Hocking
Gabrielle Thibault
Cameron Scott Bodine
Paul Nelson Arellano
Alexander F Shenkin
Olivia Jasmine Lindly
OOD
26
0
0
11 Oct 2024
Predictive Performance Test based on the Exhaustive Nested
  Cross-Validation for High-dimensional data
Predictive Performance Test based on the Exhaustive Nested Cross-Validation for High-dimensional data
I. I. Gauran
H. Ombao
Zhaoxia Yu
18
0
0
06 Aug 2024
Is Cross-Validation the Gold Standard to Evaluate Model Performance?
Is Cross-Validation the Gold Standard to Evaluate Model Performance?
Garud Iyengar
Henry Lam
Tianyu Wang
86
0
0
03 Jul 2024
Reshuffling Resampling Splits Can Improve Generalization of
  Hyperparameter Optimization
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization
Thomas Nagler
Lennart Schneider
B. Bischl
Matthias Feurer
68
309
0
24 May 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
126
5
0
26 Feb 2024
The Limits of Assumption-free Tests for Algorithm Performance
The Limits of Assumption-free Tests for Algorithm Performance
Yuetian Luo
Rina Foygel Barber
166
1
0
12 Feb 2024
Cross-Prediction-Powered Inference
Cross-Prediction-Powered Inference
Tijana Zrnic
Emmanuel J. Candès
203
31
0
28 Sep 2023
Bootstrapping the Cross-Validation Estimate
Bootstrapping the Cross-Validation Estimate
Bryan Cai
Fabio Pellegrini
Menglan Pang
C. D. Moor
Changyu Shen
V. Charu
Lu Tian
UQCV
13
3
0
01 Jul 2023
Zipper: Addressing degeneracy in algorithm-agnostic inference
Zipper: Addressing degeneracy in algorithm-agnostic inference
Geng Chen
Yinxu Jia
Guanghui Wang
Changliang Zou
58
0
0
29 Jun 2023
Hypothesis Transfer Learning with Surrogate Classification Losses:
  Generalization Bounds through Algorithmic Stability
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability
Anass Aghbalou
Guillaume Staerman
67
6
0
31 May 2023
Extrapolated cross-validation for randomized ensembles
Extrapolated cross-validation for randomized ensembles
Jin-Hong Du
Pratik V. Patil
Kathryn Roeder
Arun K. Kuchibhotla
69
5
0
27 Feb 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective
  Self-play
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play
J. Liu
Krishnamurthy Dvijotham
Jihyeon Janel Lee
Quan Yuan
Martin Strobel
Balaji Lakshminarayanan
Deepak Ramachandran
72
5
0
11 Feb 2023
Model-Agnostic Confidence Intervals for Feature Importance: A Fast and
  Powerful Approach Using Minipatch Ensembles
Model-Agnostic Confidence Intervals for Feature Importance: A Fast and Powerful Approach Using Minipatch Ensembles
Luqin Gan
Lili Zheng
Genevera I. Allen
94
6
0
05 Jun 2022
Debiased Machine Learning without Sample-Splitting for Stable Estimators
Debiased Machine Learning without Sample-Splitting for Stable Estimators
Qizhao Chen
Vasilis Syrgkanis
Morgane Austern
CML
80
18
0
03 Jun 2022
On the bias of K-fold cross validation with stable learners
On the bias of K-fold cross validation with stable learners
Anass Aghbalou
François Portier
Anne Sabourin
42
6
0
21 Feb 2022
Confidence intervals for the Cox model test error from cross-validation
Confidence intervals for the Cox model test error from cross-validation
Min Woo Sun
Robert Tibshirani
17
0
0
26 Jan 2022
Meta-Analysis of Randomized Experiments with Applications to
  Heavy-Tailed Response Data
Meta-Analysis of Randomized Experiments with Applications to Heavy-Tailed Response Data
Nilesh Tripuraneni
Dhruv Madeka
Dean Phillips Foster
Dominique C. Perrault-Joncas
Michael I. Jordan
56
5
0
14 Dec 2021
Confidence intervals for the random forest generalization error
Confidence intervals for the random forest generalization error
Paulo Cilas Cilas Marques Filho
UQCVAI4CE
50
10
0
11 Dec 2021
Local asymptotics of cross-validation in least-squares density
  estimation
Local asymptotics of cross-validation in least-squares density estimation
G. Maillard
15
1
0
18 Jun 2021
Testing for Outliers with Conformal p-values
Testing for Outliers with Conformal p-values
Stephen Bates
Emmanuel Candès
Lihua Lei
Yaniv Romano
Matteo Sesia
176
144
0
16 Apr 2021
Automatic Termination for Hyperparameter Optimization
Automatic Termination for Hyperparameter Optimization
Anastasia Makarova
Huibin Shen
Valerio Perrone
Aaron Klein
Jean Baptiste Faddoul
Andreas Krause
Matthias Seeger
Cédric Archambeau
65
22
0
16 Apr 2021
Cross-validation: what does it estimate and how well does it do it?
Cross-validation: what does it estimate and how well does it do it?
Stephen Bates
Trevor Hastie
Robert Tibshirani
UQCV
98
287
0
01 Apr 2021
1