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Brownian Heads for Deep ReLU Representations: Activation Mass and the Cost of Same-Sample Selection

arXiv:2609.21422v1 Announce Type: new Abstract: Deep representation learning often selects hidden features and fits the final predictor on the same sample, so fixed-feature analysis performed after selection can omit selection cost. We study the conditional empirical Rademacher complexity of deep R…

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  1. 2026-09-21 04:00 · arXiv stat.ML
    Brownian Heads for Deep ReLU Representations: Activation Mass and the Cost of Same-Sample Selection

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