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20222026
most citedHigh-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation

11 citations · 12 across the 4 of their papers we have counts for

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stat.ML2026

Eigen-Spike Emergence and Quadratic Equivalents for Conjugate Kernels on Nonlinearly Separable Data

Collin Cranston, Zhichao Wang, Todd Kemp +1

Recent work in random matrix theory (RMT) has developed the notion of deterministic equivalents: typically linear surrogate models that approximate the spectral behavior of large n…

math.PR2026

Anisotropic local law for non-separable sample covariance matrices

Zhou Fan, Renyuan Ma, Elliot Paquette +1

We establish local laws for sample covariance matrices $K = N^{-1}\sum_{i=1}^N \g_i\g_i^*$ where the random vectors $\g_1, \ldots, \g_N \in \R^n$ are independent with common covari…