Learning Causal Abstractions of Linear Structural Causal Models

The need for modelling causal knowledge at different levels of granularity arises in several settings. Causal Abstraction provides a framework for formalizing this problem by relating two Structural Causal Models at different levels of detail. Despite increasing interest in applying causal abstracti...

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Veröffentlicht in:	arXiv.org 2024-06
Hauptverfasser:	Massidda, Riccardo, Magliacane, Sara, Bacciu, Davide
Format:	Artikel
Sprache:	eng
Schlagworte:	Machine learning Random noise
Online-Zugang:	Volltext
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