no code implementations • 6 Oct 2020 • Amanda Gentzel, Purva Pruthi, David Jensen
Methods that infer causal dependence from observational data are central to many areas of science, including medicine, economics, and the social sciences.
no code implementations • NeurIPS 2019 • Amanda Gentzel, Dan Garant, David Jensen
However, evaluation techniques for causal modeling algorithms have remained somewhat primitive, limiting what we can learn from experimental studies of algorithm performance, constraining the types of algorithms and model representations that researchers consider, and creating a gap between theory and practice.