19 citations · 77 across the 16 of their papers we have counts for
3 papers · 1 filter
Differentiable Causal Discovery Under Unmeasured Confounding
Rohit Bhattacharya, Tushar Nagarajan, Daniel Malinsky +1
The data drawn from biological, economic, and social systems are often confounded due to the presence of unmeasured variables. Prior work in causal discovery has focused on discret…
Full Law Identification In Graphical Models Of Missing Data: Completeness Results
Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser
Missing data has the potential to affect analyses conducted in all fields of scientific study, including healthcare, economics, and the social sciences. Several approaches to unbia…
Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables
Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser
Identification theory for causal effects in causal models associated with hidden variable directed acyclic graphs (DAGs) is well studied. However, the corresponding algorithms are…