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Sagan

Paper

Kernel-Based Functional Balancing for Causal Inference with Compositional Treatments

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arXiv:2606. 17308v1 Announce Type: cross Abstract: We study causal effect estimation with compositional treatments, where the exposure lies on a simplex and the estimand is defined over compositions rather than scalar or binary values.