Feature Importance Disparities for Data Bias Investigations. Chang, P. W., Fishman, L., & Neel, S. In Salakhutdinov, R., Kolter, Z., Heller, K. A., Weller, A., Oliver, N., Scarlett, J., & Berkenkamp, F., editors, Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, volume 235, of Proceedings of Machine Learning Research, pages 6170–6201, 2024. PMLR / OpenReview.net.
Paper bibtex @inproceedings{DBLP:conf/icml/ChangFN24,
author = {Peter W. Chang and
Leor Fishman and
Seth Neel},
editor = {Ruslan Salakhutdinov and
Zico Kolter and
Katherine A. Heller and
Adrian Weller and
Nuria Oliver and
Jonathan Scarlett and
Felix Berkenkamp},
title = {Feature Importance Disparities for Data Bias Investigations},
booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024,
Vienna, Austria, July 21-27, 2024},
series = {Proceedings of Machine Learning Research},
volume = {235},
pages = {6170--6201},
publisher = {{PMLR} / OpenReview.net},
year = {2024},
url = {https://proceedings.mlr.press/v235/chang24a.html},
timestamp = {Mon, 09 Feb 2026 15:35:36 +0100},
biburl = {https://dblp.org/rec/conf/icml/ChangFN24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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