Identifying Representations for Intervention Extrapolation

The premise of identifiable and causal representation learning is to improve the current representation learning paradigm in terms of generalizability or robustness. Despite recent progress in questions of identifiability, more theoretical results demonstrating concrete advantages of these methods f...

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Bibliographische Detailangaben

Hauptverfasser:	Saengkyongam, Sorawit, Rosenfeld, Elan, Ravikumar, Pradeep, Pfister, Niklas, Peters, Jonas
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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