2025 "random matrix theory" Papers
6 papers found
Bayesian Treatment of the Spectrum of the Empirical Kernel in (Sub)Linear-Width Neural Networks
Ouns El Harzli, Bernardo Grau
ICLR 2025poster
Bayes optimal learning of attention-indexed models
Fabrizio Boncoraglio, Emanuele Troiani, Vittorio Erba et al.
NEURIPS 2025posterarXiv:2506.01582
2
citations
Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion
Enrico Ventura, Beatrice Achilli, Gianluigi Silvestri et al.
ICLR 2025posterarXiv:2410.05898
21
citations
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
Spectral Estimation with Free Decompression
Siavash Ameli, Chris van der Heide, Liam Hodgkinson et al.
NEURIPS 2025spotlightarXiv:2506.11994