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Data Attribution at Scale via Influence Matrix Estimation

This story is from 2026-09-15. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.15044v1 Announce Type: new Abstract: Data attribution seeks to quantify how individual training examples shape a model's predictions and underpins problems including data valuation, machine unlearning, and model interpretability. Despite having a long line of work, computationally scalab…

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  1. 2026-09-15 04:00 · arXiv stat.ML
    Data Attribution at Scale via Influence Matrix Estimation

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