Maximum Mean Discrepancy for Generalization in the Presence of Distribution and Missingness Shift

Covariate shifts are a common problem in predictive modeling on real-world problems. This paper proposes addressing the covariate shift problem by minimizing Maximum Mean Discrepancy (MMD) statistics between the training and test sets in either feature input space, feature representation space, or b...

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Veröffentlicht in:	arXiv.org 2022-03
Hauptverfasser:	Ouyang, Liwen, Key, Aaron
Format:	Artikel
Sprache:	eng
Schlagworte:	Extrapolation Prediction models Representations Statistical tests Test sets
Online-Zugang:	Volltext
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