AI RESEARCH
In-Run Data Shapley for Adam Optimizer
arXiv CS.LG
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ArXi:2602.00329v3 Announce Type: replace Reliable data attribution is essential for mitigating bias and reducing computational waste in modern machine learning, with the Shapley value serving as the theoretical gold standard. While recent "In-Run" methods bypass the prohibitive cost of re