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H. G. Souto

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#machine learning Preprint Sep 2026

Wasserstein Causal Forests for Distribution-Valued Outcomes

This paper proposes Wasserstein Causal Forests (WCF) for settings in which each unit's outcome is itself a probability distribution. This study also defines finite-grid transformed average and conditional average treatment effects, including a reference-distance contrast that asks whether treatment moves unit-level dis...

H. G. Souto · 0 citations