Domain Generalization by Marginal Transfer Learning

In the problem of domain generalization (DG), there are labeled training data sets from several related prediction problems, and the goal is to make accurate predictions on future unlabeled data sets that are not known to the learner. This problem arises in several applications where data distributi...

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Veröffentlicht in:	Journal of machine learning research 2021-01, Vol.22 (2), p.1-55
Hauptverfasser:	Blanchard, Gilles, Deshmukh, Aniket Anand, Dogan, Urun, Lee, Gyemin, Scott, Clayton
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Computer Science Machine Learning Mathematics Statistics Statistics - Machine Learning
Online-Zugang:	Volltext
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