Testing Most Influential Sets

NetSciX 2026 Conference Submission169 Authors

Published: 30 Oct 2025, Last Modified: 30 Oct 2025NetSciX 2026 PosterEveryoneRevisionsBibTeXCC BY-SA 4.0
Keywords: influence, data attribution, model sensitivity, fairness, interpretable
TL;DR: We characterize the distribution of influence from most influential sets, providing theoretical foundations for hypothesis tests
Submission Number: 169
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