Sample Efficient Bayesian Learning of Causal Graphs from Interventions

Environment: Python 3.11, Julia 1.10 Packages are in environment.yml

Python Libraries: Graphical_Models, PyAgrum, CausalDag, GraphTheory, Causal_learn

Julia Libraries: LightGraphs, GraphIO, LinkedLists

The CliquePikcing algorithm is from: https://github.com/mwien/CliquePicking.git

Run our algorithm:

ex: python run_sample_efficient.py --n 5 --den 1 --n_dag 50 --n_sample 100000

Run baselines:

ex: python run_baselines.py

References

Wienöbst, M., Bannach, M., & Liśkiewicz, M. (2023). Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications. Journal of Machine Learning Research, 24(213), 1-45.