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cs.LG2025
Small-to-Large Generalization: Data Influences Models Consistently Across Scale
Alaa Khaddaj, Logan Engstrom, Aleksander Madry
Choice of training data distribution greatly influences model behavior. Yet, in large-scale settings, precisely characterizing how changes in training data affects predictions is o…
cs.LG2025
MAGIC: Near-Optimal Data Attribution for Deep Learning
Andrew Ilyas, Logan Engstrom
The goal of predictive data attribution is to estimate how adding or removing a given set of training datapoints will affect model predictions. In convex settings, this goal is str…