ICML "random matrix theory" Papers

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Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum

Tin Sum Cheng, Aurelien Lucchi, Anastasis Kratsios et al.

ICML 2024posterarXiv:2402.01297

Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures

Zenan Ling, Longbo Li, Zhanbo Feng et al.

ICML 2024posterarXiv:2402.02697

No Double Descent in Principal Component Regression: A High-Dimensional Analysis

Daniel Gedon, Antonio Ribeiro, Thomas Schön

ICML 2024poster

Random matrix theory improved Fréchet mean of symmetric positive definite matrices

Florent Bouchard, Ammar Mian, Malik TIOMOKO et al.

ICML 2024posterarXiv:2405.06558

Spectral Phase Transition and Optimal PCA in Block-Structured Spiked Models

Pierre Mergny, Justin Ko, FLORENT KRZAKALA

ICML 2024posterarXiv:2403.03695