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Leveraging Gradient Information for Out-of-Domain Performance Estimations

Title: Leveraging Gradient Information for Out-of-Domain Performance Estimations
Authors: Khramtsova, EkaterinaAff15; Baktashmotlagh, MahsaAff15; Zuccon, GuidoAff15; Wang, XiAff16; Salzmann, MathieuAff17
Contributors: Hartmanis, Juris, Founding EditorAff1; Goos, Gerhard, Founding EditorAff2; Bertino, Elisa, Series EditorAff3; Gao, Wen, Series EditorAff4; Steffen, Bernhard, Series EditorAff5; Yung, Moti, Series EditorAff6; Ribeiro, Rita P., editorAff7; Pfahringer, Bernhard, editorAff8; Japkowicz, Nathalie, editorAff9; Larrañaga, Pedro, editorAff10; Jorge, Alípio M., editorAff11; Soares, Carlos, editorAff12; Abreu, Pedro H., editorAff13; Gama, João, editorAff14
Source: Machine Learning and Knowledge Discovery in Databases. Research Track : European Conference, ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Proceedings, Part VI. 16018:306-321
Database: Springer Nature eBooks