Early Stopping for Kernel Boosting Algorithms: A General Analysis With Localized Complexities
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DOI: 10.1109/tit.2019.2927563
Abstract: Early stopping of iterative algorithms is a widely used form of regularization in statistics, commonly used in conjunction with boosting and related gradient-type algorithms. Although consistency results have been established in some settings, such estimators… read more here.
Keywords: kernel boosting; early stopping; algorithms general; stopping kernel ... See more keywords