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Found 3 papers, 1 papers with code
Identifying Causal Effects Under Functional Dependencies
We study the identification of causal effects, motivated by two improvements to identifiability which can be attained if one knows that some variables in a causal graph are functionally determined by their parents (without needing to know the specific functions).
Tractable Bounding of Counterfactual Queries by Knowledge Compilation
We discuss the problem of bounding partially identifiable queries, such as counterfactuals, in Pearlian structural causal models.
On the Complexity of Counterfactual Reasoning
We show that counterfactual reasoning is no harder than associational or interventional reasoning on fully specified SCMs in the context of two computational frameworks.
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