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