"random matrix theory" Papers

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Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing

Elad Romanov, Fangzhao Zhang, Mert Pilanci

ICLR 2025posterarXiv:2410.01374
2
citations

Non-Asymptotic Analysis Of Data Augmentation For Precision Matrix Estimation

Lucas Morisset, Adrien Hardy, Alain Durmus

NeurIPS 2025spotlightarXiv:2510.02119

Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum

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

ICML 2024poster

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 2024poster

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 2024poster

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

Pierre Mergny, Justin Ko, FLORENT KRZAKALA

ICML 2024poster