Metrics

Separation-Based Distance Measures for Causal Graphs

Assessing the accuracy of the output of causal discovery algorithms is crucial in developing and comparing novel methods. Common …

@inproceedings{wahlSeparationBasedDistanceMeasuresFor2025,
 author = {Jonas Wahl and Jakob Runge},
 booktitle = {Proceedings of The 28th International Conference on Artificial Intelligence and Statistics. International Conference on Artificial Intelligence and Statistics (AISTATS-2025), May 3-5, Mai Khao, Thailand},
 pages = {3412-3420},
 publisher = {Proceedings of Machine Learning Research},
 title = {Separation-Based Distance Measures for Causal Graphs},
 url = {https://proceedings.mlr.press/v258/wahl25b.html},
 volume = {258},
 year = {2025}
}