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0111 · Apr 202019922001200920172026
1 result for Expected-Causality-Maximization

Paper tackles estimating individual treatment effects from observational data.

problem Estimating the difference between outcomes with and without treatment from single observation.
method Formulated as inference from hidden variables, uses a model of four causal populations, proposes ECM algorithm.
result ECM algorithm provides better performance compared to baseline methods on synthetic and real-world data.