Separating Geometry from Probability in the Analysis of Generalization

Researchers challenge the foundational i.i.d. assumption in generalization theory, proposing sensitivity analysis of optimization solutions as an alternative framework that doesn't require unverifiable probabilistic assumptions about data distribution.

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