@InProceedings{yu_et_al:LIPIcs.SAT.2024.30,
  author =	{Yu, Jinqiang and Farr, Graham and Ignatiev, Alexey and Stuckey, Peter J.},
  title =	{{Anytime Approximate Formal Feature Attribution}},
  booktitle =	{27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)},
  pages =	{30:1--30:23},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-334-8},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{305},
  editor =	{Chakraborty, Supratik and Jiang, Jie-Hong Roland},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SAT.2024.30},
  URN =		{urn:nbn:de:0030-drops-205526},
  doi =		{10.4230/LIPIcs.SAT.2024.30},
  annote =	{Keywords: Explainable AI, Formal Feature Attribution, Minimal Unsatisfiable Subsets, MUS Enumeration}
}