DiffPO: A causal diffusion model for learning distributions of potential
outcomes
DiffPO: A causal diffusion model for learning distributions of potential
outcomes
Predicting potential outcomes of interventions from observational data is crucial for decision-making in medicine, but the task is challenging due to the fundamental problem of causal inference. Existing methods are largely limited to point estimates of potential outcomes with no uncertain quantification; thus, the full information about the distributions of …