Fetching the paper…
Reading the bibliography…
This work develops central limit theorems for cross-validation and consistent estimators of its asymptotic variance under weak stability conditions on the learning algorithm.
Stability of decision trees and logistic regression
Arsov, N., Pavlovski, M., and Kocarev, L. (2019) · 1903
Earlier work this paper cites.
Approximate statistical tests for comparing supervised classification learning algorithms
Dietterich, T. G. (1998) · 1923
Earlier work this paper cites.
Probable inference, the law of succession, and statistical inference
Wilson, E. B. (1927) · 1927
Earlier work this paper cites.
Note on the sampling error of the difference between correlated proportions or percentages
McNemar, Q. (1947) · 1947
Earlier work this paper cites.
Probability and Potentials
Meyer, P.-A. (1966) · 1966
Earlier work this paper cites.
Cross-validatory choice and assessment of statistical predictions
Stone, M. (1974) · 1974
Earlier work this paper cites.
The predictive sample reuse method with applications
Geisser, S. (1975) · 1975
Earlier work this paper cites.
An Efron-Stein inequality for nonsymmetric statistics
Steele, J. M. (1986) · 1986
Earlier work this paper cites.
Probability and Measure, Third Edition
Billingsley, P. (1995) · 1995
Earlier work this paper cites.
Beating the hold-out: Bounds for k k -fold and progressive cross-validation
Blum, A., Kalai, A., and Langford, J. (1999) · 1999
Earlier work this paper cites.
Algorithmic stability and sanity-check bounds for leave-one-out cross-validation
Kearns, M. and Ron, D. (1999) · 1999
Earlier work this paper cites.
A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms
Lim, T.-S., Loh, W.-Y., and Shih, Y.-S. (2000) · 2000
Earlier work this paper cites.
Asymptotics of Cross-Validation
Austern, M. and Zhou, W. (2020) · 2001
Earlier work this paper cites.
Interval estimation for a binomial proportion
Brown, L. D., Cai, T. T., and DasGupta, A. (2001) · 2001
Earlier work this paper cites.
Stability and generalization
Bousquet, O. and Elisseeff, A. (2002) · 2002
Earlier work this paper cites.
Almost-everywhere algorithmic stability and generalization error
Kutin, S. and Niyogi, P. (2002) · 2002
Cited alongside, same era.
Inference for the generalization error
Nadeau, C. and Bengio, Y. (2003) · 2003
Cited alongside, same era.
No unbiased estimator of the variance of k k -fold cross validation
Bengio, Y. and Grandvalet, Y. (2004) · 2004
Cited alongside, same era.
Evaluating the replicability of significance tests for comparing learning algorithms
Bouckaert, R. R. and Frank, E. (2004) · 2004
Cited alongside, same era.
Moment inequalities for functions of independent random variables
Boucheron, S., Bousquet, O., Lugosi, G., and Massart, P. (2005) · 2005
Cited alongside, same era.
Asymptotics of cross-validated risk estimation in estimator selection and performance assessment
Dudoit, S. and van der Laan, M. J. (2005) · 2005
Near-optimal bounds for cross-validation via loss stability
Kumar, R., Lokshtanov, D., Vassilvitskii, S., and Vattani, A. (2013) · 2013
Later among the works it cites.
FlightDelays
(2015) · 2015
Later among the works it cites.
Computationally efficient confidence intervals for cross-validated area under the roc curve estimates
LeDell, E., Petersen, M., and van der Laan, M. (2015) · 2015
Later among the works it cites.
Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study
Pirracchio, R., Petersen, M. L., Carone, M., Rigon, M. R., Chevret, S., and van der Laan, M. J. (2015) · 2015
Later among the works it cites.
Stability revisited: new generalisation bounds for the Leave-one-Out
Celisse, A. and Guedj, B. (2016) · 2016
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Stability of randomized learning algorithms
Elisseeff, A., Evgeniou, T., and Pontil, M. (2005) · 2005
Cited alongside, same era.
Analysis of variance of cross-validation estimators of the generalization error
Markatou, M., Tian, H., Biswas, S., and Hripcsak, G. (2005) · 2005
Cited alongside, same era.
Prediction of cancer outcome with microarrays: a multiple random validation strategy
Michiels, S., Koscielny, S., and Hill, C. (2005) · 2005
Cited alongside, same era.
Statistical comparisons of classifiers over multiple data sets
Demšar, J. (2006) · 2006
Cited alongside, same era.
Approximate Cross-Validation for Structured Models
Ghosh, S., Stephenson, W. T., Nguyen, T. D., Deshpande, S. K., and Broderick, T. (2020) · 2006
Cited alongside, same era.
Calculating Confidence Intervals for Prediction Error in Microarray Classification Using Resampling
Jiang, W., Varma, S., and Simon, R. (2008) · 2008
Cited alongside, same era.
Chen, T. and Guestrin, C. (2016) · 2016
Later among the works it cites.
Train faster, generalize better: Stability of stochastic gradient descent
Hardt, M., Recht, B., and Singer, Y. (2016) · 2016
Later among the works it cites.
On optimal generalizability in parametric learning
Beirami, A., Razaviyayn, M., Shahrampour, S., and Tarokh, V. (2017) · 2017
Later among the works it cites.
Probability: Theory and Examples, Version 5
Durrett, R. (2019) · 2019
Later among the works it cites.
A swiss army infinitesimal jackknife
Giordano, R., Stephenson, W., Liu, R., Jordan, M., and Broderick, T. (2019) · 2019
Later among the works it cites.
On the Accuracy of Influence Functions for Measuring Group Effects
Koh, P. W., Ang, K.-S., Teo, H. H. K., and Liang, P. (2019) · 2019
Later among the works it cites.
Cross-validation with confidence
Lei, J. (2019) · 2019
Later among the works it cites.
A scalable estimate of the out-of-sample prediction error via approximate leave-one-out cross-validation
Rad, K. R. and Maleki, A. (2020) · 2020
Closest in time.
Approximate cross-validation in high dimensions with guarantees
Stephenson, W. and Broderick, T. (2020) · 2020
Closest in time.
Approximate cross-validation: Guarantees for model assessment and selection
Wilson, A., Kasy, M., and Mackey, L. (2020) · 2020
Closest in time.