IWDD distills a pretrained conditional diffusion model into a one-step generator using randomized treatment sampling, implicitly reweighting observational data for confounding bias and reducing gradient variance.
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A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation
IWDD distills a pretrained conditional diffusion model into a one-step generator using randomized treatment sampling, implicitly reweighting observational data for confounding bias and reducing gradient variance.