Max Planck Institute for Intelligent Systems, Tübingen, Germany; Carnegie Mellon University, Pittsburgh, USA; University of Chicago, Chicago, USA
Simon Buchholz, Goutham Rajendran, Elan Rosenfeld, Bryon Aragam, Bernhard Schölkopf, Pradeep Ravikumar
Causal Representation Learning;Interventional data;Gaussian Structural Causal models
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing