Authors
Contributors
Credits
We would like to thank all the developers and researchers who made their software available open-source.
Contributing
To add more algorithms, datasets or other functionalities fork the repository https://github.com/felixleopoldo/benchpress. For new feature ideas, problems, bug reporting, or questions please raise an issue or start a discussion there.
Benchpress in research
Mohamad Elmasri. Parallel Sampling of Decomposable Graphs Using Markov Chains on Junction Trees. Journal of the American Statistical Association, 2024
Ruta Binkyte, Carlos Antonio Pinzón, Szilvia Lestyán, Kangsoo Jung, Héber Hwang Arcolezi, Catuscia Palamidessi. Causal Discovery Under Local Privacy. Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:325-383, 2024.
Damian Machlanski, Spyridon Samothrakis, Paul S Clarke. Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice. Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR 236:703-739, 2024.
Citing
BibTeX entry for citing Benchpress:
@Article{rios2025benchpress,
author = {Felix L. Rios and Giusi Moffa and Jack Kuipers},
title = {{Benchpress}: A Versatile Platform for Structure Learning in Causal and Probabilistic Graphical Models},
journal = {Journal of Statistical Software},
year = {2025},
volume = {114},
number = {12},
pages = {1--43},
doi = {10.18637/jss.v114.i12}
}