Interleaved Resampling and Refitting: Data and Compute-Efficient Evaluation of Black-Box Predictors
arXiv:2603.14218v2 Announce Type: replace
Abstract: We study the problem of evaluating the excess risk of large-scale empirical risk minimization under the square loss. Leveraging the idea of wild refitting and resampling, we assume only black-box acc…