116 citations · 267 across the 30 of their papers we have counts for
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stat.ME2022★ 1 cited
-GNF: A Copula-based Sensitivity Analysis to Unobserved Confounding Using Normalizing Flows
Sourabh Balgi, Jose M. Peña, Adel Daoud
We propose a novel sensitivity analysis to unobserved confounding in observational studies using copulas and normalizing flows. Using the idea of interventional equivalence of stru…
cs.AI2022★ 3 cited
Counterfactual Analysis of the Impact of the IMF Program on Child Poverty in the Global-South Region using Causal-Graphical Normalizing Flows
Sourabh Balgi, Jose M. Peña, Adel Daoud
This work demonstrates the application of a particular branch of causal inference and deep learning models: \emph{causal-Graphical Normalizing Flows (c-GNFs)}. In a recent contribu…
cs.LG2022
Personalized Public Policy Analysis in Social Sciences using Causal-Graphical Normalizing Flows
Sourabh Balgi, Jose M. Pena, Adel Daoud
Structural Equation/Causal Models (SEMs/SCMs) are widely used in epidemiology and social sciences to identify and analyze the average causal effect (ACE) and conditional ACE (CACE)…