FOLDS seminar: Algorithmic stability for regression and classification
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Amy Gutmann Hall, Room 414
3333 Chestnut Street, Philadelphia, United States
In a supervised learning setting, a model fitting algorithm is unstable if small perturbations to the input (the training data) can often lead to large perturbations in the output (say, predictions returned by the fitted model). Algorithmic stability is a desirable property with many important implications such as generalization and robustness, but testing the stability […]

