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This paper introduces lifted causal inference, leveraging parametric causal factor graphs to efficiently compute causal effects in relational domains, and presents the Lifted Causal Inference (LCI) algorithm for polynomial-time inference.
This paper revisits the theoretical foundations for detecting commutative factors in factor graphs, correcting a previously mistaken sufficient condition and presenting corrected algorithms.