Mesoscopic theory describes SGD feature learning in wide two-layer networks
Gaussian overlap statistics track linear and quadratic learning until specialization, which quadratic shielding accelerates.
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Gaussian overlap statistics track linear and quadratic learning until specialization, which quadratic shielding accelerates.
Paper derives a spectral theory showing weight decay drives NTK feature learning that controls grokking timescale and phase structure.
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