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Testing Most Influential Sets
NetSciX 2026 Conference Submission169 Authors
25 Sept 2025 (modified: 27 Sept 2025)
NetSciX 2026 Conference Submission
Everyone
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CC 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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