1 code implementation • 29 Apr 2024 • Piersilvio De Bartolomeis, Javier Abad, Konstantin Donhauser, Fanny Yang
Randomized trials are considered the gold standard for making informed decisions in medicine, yet they often lack generalizability to the patient populations in clinical practice.
1 code implementation • 31 Jan 2024 • Konstantin Donhauser, Javier Abad, Neha Hulkund, Fanny Yang
We present a novel approach for differentially private data synthesis of protected tabular datasets, a relevant task in highly sensitive domains such as healthcare and government.
1 code implementation • 6 Dec 2023 • Piersilvio De Bartolomeis, Javier Abad, Konstantin Donhauser, Fanny Yang
Further, we show how our lower bound can correctly identify the absence and presence of unobserved confounding in a real-world setting.
1 code implementation • 2 Feb 2022 • Javier Abad, Umang Bhatt, Adrian Weller, Giovanni Cherubin
We prove that our method is a consistent approximation of full CP, and empirically show that the approximation error becomes smaller as the training set increases; e. g., for $10^{3}$ training points the two methods output p-values that are $<10^{-3}$ apart: a negligible error for any practical application.