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Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA, Department of Biostatistics, Vanderbilt University Medical Center, TN 37203, USA
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Unlock statistically valid inference from differentially private data by releasing only sufficient statistics, sidestepping the miscalibration issues of synthetic data and the uncertainty quantification limitations of point estimates.
Make your synthetic tabular data causally aware: CausalWrap injects causal knowledge into any pre-trained generator, boosting treatment effect estimation by up to 63% without sacrificing data quality.
Selective conformal prediction can maintain 95% coverage under 30% contamination in interventional settings by learning only the necessary partial causal structure, outperforming standard methods that degrade to 87% coverage.
