s-step self-distillation is optimal among spectral shrinkage estimators for s-spiked covariance matrices and necessary for optimality.
Pseudo-label : The simple and efficient semi-supervised learning method for deep neural networks.ICML 2013 Workshop : Challenges in Representation Learning (WREPL), 07 2013
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Self-Distillation is Optimal Among Spectral Shrinkage Estimators in Spiked Covariance Models
s-step self-distillation is optimal among spectral shrinkage estimators for s-spiked covariance matrices and necessary for optimality.