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...

Полное описание

Библиографические подробности
Главные авторы: de Vassimon Manela, D, Battaglia, L, Evans, RJ
Формат: Conference item
Язык:English
Опубликовано: Neural Information Processing Systems Foundation 2025