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Alexandre Bayle

2 accepted papers

2020

Cross-validation Confidence Intervals for Test Error

NeurIPS 2020poster

This work develops central limit theorems for cross-validation and consistent estimators of the asymptotic variance under weak stability conditions on the learning algorithm. Together, these results provide practical, asymptotically-exact confidence intervals for k-fold test error and valid, powerfu…