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stat.ML2022★ 3 cited
Algorithms that Approximate Data Removal: New Results and Limitations
Vinith M. Suriyakumar, Ashia C. Wilson
We study the problem of deleting user data from machine learning models trained using empirical risk minimization. Our focus is on learning algorithms which return the empirical ri…
stat.ML2020
Approximate Cross-validation: Guarantees for Model Assessment and Selection
Ashia Wilson, Maximilian Kasy, Lester Mackey
Cross-validation (CV) is a popular approach for assessing and selecting predictive models. However, when the number of folds is large, CV suffers from a need to repeatedly refit a…