Beyond Distributional Fidelity: Causal-Penalized Diffusion for Synthetic Tabular Data
arXiv:2610.11407v1 Announce Type: new Abstract: Synthetic tabular generators are commonly optimized for distributional fidelity, but statistical similarity alone does not guarantee preservation of causal effects. In this paper, we study whether causal fidelity can be improved directly within a full…
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- 2026-10-09 04:00 · arXiv stat.ML
Beyond Distributional Fidelity: Causal-Penalized Diffusion for Synthetic Tabular Data