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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| Médium: | Conference item |
| Jazyk: | English |
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Neural Information Processing Systems Foundation
2025
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