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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?

1 April 2021
Stephen Bates
Trevor Hastie
Robert Tibshirani
    UQCV
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Papers citing "Cross-validation: what does it estimate and how well does it do it?"

15 / 15 papers shown
Title
Stability Regularized Cross-Validation
Stability Regularized Cross-Validation
Ryan Cory-Wright
A. Gómez
31
0
0
11 May 2025
GeoConformal prediction: a model-agnostic framework of measuring the uncertainty of spatial prediction
GeoConformal prediction: a model-agnostic framework of measuring the uncertainty of spatial prediction
Xiayin Lou
Peng Luo
Liqiu Meng
91
0
0
05 Dec 2024
Conformal Prediction: A Data Perspective
Conformal Prediction: A Data Perspective
Xiaofan Zhou
Baiting Chen
Yu Gui
Lu Cheng
184
3
0
09 Oct 2024
RandALO: Out-of-sample risk estimation in no time flat
RandALO: Out-of-sample risk estimation in no time flat
Parth Nobel
Daniel LeJeune
Emmanuel J. Candès
44
3
0
15 Sep 2024
Distributional bias compromises leave-one-out cross-validation
Distributional bias compromises leave-one-out cross-validation
George I. Austin
I. Pe’er
T. Korem
55
1
0
03 Jun 2024
The Limits of Assumption-free Tests for Algorithm Performance
The Limits of Assumption-free Tests for Algorithm Performance
Yuetian Luo
Rina Foygel Barber
36
0
0
12 Feb 2024
S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
Tiezhi Wang
Nils Strodthoff
52
5
0
10 Oct 2023
Cross-Prediction-Powered Inference
Cross-Prediction-Powered Inference
Tijana Zrnic
Emmanuel J. Candès
43
23
0
28 Sep 2023
Assessing the performance of spatial cross-validation approaches for
  models of spatially structured data
Assessing the performance of spatial cross-validation approaches for models of spatially structured data
M. Mahoney
L. Johnson
Julia Silge
Hannah Frick
Max Kuhn
Colin M. Beier
14
9
0
13 Mar 2023
Extrapolated cross-validation for randomized ensembles
Extrapolated cross-validation for randomized ensembles
Jin-Hong Du
Pratik V. Patil
Kathryn Roeder
Arun K. Kuchibhotla
18
5
0
27 Feb 2023
Unbiased Test Error Estimation in the Poisson Means Problem via Coupled
  Bootstrap Techniques
Unbiased Test Error Estimation in the Poisson Means Problem via Coupled Bootstrap Techniques
Natalia L. Oliveira
Jing Lei
Robert Tibshirani
51
7
0
04 Dec 2022
Concentration inequalities for leave-one-out cross validation
Concentration inequalities for leave-one-out cross validation
B. Avelin
L. Viitasaari
25
3
0
04 Nov 2022
Post-Selection Confidence Bounds for Prediction Performance
Post-Selection Confidence Bounds for Prediction Performance
Pascal Rink
W. Brannath
32
1
0
24 Oct 2022
GRASP: A Goodness-of-Fit Test for Classification Learning
GRASP: A Goodness-of-Fit Test for Classification Learning
Adel Javanmard
M. Mehrabi
15
0
0
05 Sep 2022
Embracing the Disharmony in Medical Imaging: A Simple and Effective
  Framework for Domain Adaptation
Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation
Rongguang Wang
Pratik Chaudhari
Christos Davatzikos
OOD
47
50
0
23 Mar 2021
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