A sketching method based on higher-order derivatives enables efficient data deletion predictions for deep learning models under a stability assumption with near-linear overhead in error and failure parameters.
Smith, Marika Swanberg, and Prashant Nalini Va- sudevan
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How to sketch a learning algorithm
A sketching method based on higher-order derivatives enables efficient data deletion predictions for deep learning models under a stability assumption with near-linear overhead in error and failure parameters.