Marginal causal flows for validation and inference

Investigating the marginal causal effect of an intervention on an outcome from complex data remains challenging due to the inflexibility of employed models and the lack of complexity in causal benchmark datasets, which often fail to reproduce intricate real-world data patterns. In this paper we intr...

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Autori principali: de Vassimon Manela, D, Battaglia, L, Evans, RJ
Natura: Conference item
Lingua:English
Pubblicazione: Neural Information Processing Systems Foundation 2025