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stat.ML2022★ 15 cited
A unified framework for dataset shift diagnostics
Felipe Maia Polo, Rafael Izbicki, Evanildo Gomes Lacerda +2
Supervised learning techniques typically assume training data originates from the target population. Yet, in reality, dataset shift frequently arises, which, if not adequately take…
stat.ML2020★ 9 cited
Effective Sample Size, Dimensionality, and Generalization in Covariate Shift Adaptation
Felipe Maia Polo, Renato Vicente
In supervised learning, training and test datasets are often sampled from distinct distributions. Domain adaptation techniques are thus required. Covariate shift adaptation yields…