Modeling and Discovering Direct Causes for Predictive Models

We introduce a causal modeling framework that captures the input-output behavior of predictive models (e.g., machine learning models). The framework enables us to identify features that directly cause the predictions, which has broad implications for data collection and model evaluation. We then pre...

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Vydané v:	Proceedings of the International Florida Artificial Intelligence Research Society Conference Ročník 38; číslo 1
Hlavní autori:	Chen, Yizuo, Bhatia, Amit
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	LibraryPress@UF 14.05.2025
Predmet:	causal models Causality explainability
ISSN:	2334-0754, 2334-0762
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