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Cross-validation: what does it estimate and how well does it do it?

1 April 2021

Papers citing "Cross-validation: what does it estimate and how well does it do it?"

26 / 26 papers shown

Title
The use of cross validation in the analysis of designed experiments Maria L. Weese Byran J. Smucker David J. Edwards 17 0 0 17 Jun 2025
Weighted Leave-One-Out Cross Validation L. Pronzato M. Rendas 69 0 0 26 May 2025
Stability Regularized Cross-Validation Ryan Cory-Wright A. Gómez 48 0 0 11 May 2025
GeoConformal prediction: a model-agnostic framework of measuring the uncertainty of spatial prediction Xiayin Lou Peng Luo Liqiu Meng 197 0 0 05 Dec 2024
Conformal Prediction: A Data Perspective Xiaofan Zhou Baiting Chen Yu Gui Lu Cheng 1.0K 5 0 09 Oct 2024
RandALO: Out-of-sample risk estimation in no time flat Parth Nobel Daniel LeJeune Emmanuel J. Candès 115 3 0 15 Sep 2024
Risk and cross validation in ridge regression with correlated samples Alexander B. Atanasov Jacob A. Zavatone-Veth Cengiz Pehlevan 103 5 0 08 Aug 2024
Is Cross-Validation the Gold Standard to Evaluate Model Performance? Garud Iyengar Henry Lam Tianyu Wang 86 0 0 03 Jul 2024
Distributional bias compromises leave-one-out cross-validation George I. Austin I. Pe’er T. Korem 137 2 0 03 Jun 2024
Soil analysis with machine-learning-based processing of stepped-frequency GPR field measurements: Preliminary study Chunlei Xu Michael Pregesbauer Naga Sravani Chilukuri Daniel Windhager Mahsa Yousefi Pedro Julian Lothar Ratschbacher 40 0 0 24 Apr 2024
The Limits of Assumption-free Tests for Algorithm Performance Yuetian Luo Rina Foygel Barber 166 1 0 12 Feb 2024
Two-Stage Surrogate Modeling for Data-Driven Design Optimization with Application to Composite Microstructure Generation Farhad Pourkamali-Anaraki Jamal F. Husseini E. Pineda B. Bednarcyk Scott E. Stapleton AI4CE 139 2 0 04 Jan 2024
S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models Tiezhi Wang Nils Strodthoff 114 5 0 10 Oct 2023
Prediction Error Estimation in Random Forests Ian Krupkin Johanna Hardin 14 0 0 01 Sep 2023
Bootstrapping the Cross-Validation Estimate Bryan Cai Fabio Pellegrini Menglan Pang C. D. Moor Changyu Shen V. Charu Lu Tian UQCV 15 3 0 01 Jul 2023
Extrapolated cross-validation for randomized ensembles Jin-Hong Du Pratik V. Patil Kathryn Roeder Arun K. Kuchibhotla 69 5 0 27 Feb 2023
The out-of-sample $R^2$ : estimation and inference Stijn Hawinkel Willem Waegeman Steven Maere 37 12 0 10 Feb 2023
Concentration inequalities for leave-one-out cross validation B. Avelin L. Viitasaari 83 3 0 04 Nov 2022
Post-Selection Confidence Bounds for Prediction Performance Pascal Rink W. Brannath 58 1 0 24 Oct 2022
GRASP: A Goodness-of-Fit Test for Classification Learning Adel Javanmard M. Mehrabi 73 0 0 05 Sep 2022
Estimation of Over-parameterized Models from an Auto-Modeling Perspective Yiran Jiang Chuanhai Liu 110 1 0 03 Jun 2022
More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize Alexander Wei Wei Hu Jacob Steinhardt 109 72 0 11 Mar 2022
Predicting Loss Risks for B2B Tendering Processes Eelaaf Zahid Yuya Jeremy Ong Aly Megahed Taiga Nakamura 18 0 0 14 Sep 2021
Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process Christoph Molnar Timo Freiesleben Gunnar Konig Giuseppe Casalicchio Marvin N. Wright B. Bischl 40 61 0 03 Sep 2021
Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation Rongguang Wang Pratik Chaudhari Christos Davatzikos OOD 128 52 0 23 Mar 2021
Fast calculation of Gaussian Process multiple-fold cross-validation residuals and their covariances D. Ginsbourger Cedric Scharer 43 9 0 08 Jan 2021