Scalable Intervention Target Estimation in Linear Models

Implementation of the paper Scalable Intervention Target Estimation in Linear Models (NeurIPS 2021), and the code to generate simulation results.

Required packages: causaldag networkx matplotlib

run example.py file to generate our algorithm vs. UTIGSP figures on Dixit dataset (Fig.2b of the paper). example.ipynb contains more explanation regarding hyperparameters and runs the example.py experiment.