Copertina

Low-rank Matrix Estimation with Inhomogeneous Noise

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Guionnet, Alice, Ko, Justin, Krzakala, Florent, Zdeborová, Lenka
Natura:	Preprint
Pubblicazione:	2022
Soggetti:	Probability Disordered Systems and Neural Networks Statistics Theory
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Gaussian Universality of Perceptrons with Random Labels
di: Gerace, Federica, et al.
Pubblicazione: (2022)

Spectral Phase Transition and Optimal PCA in Block-Structured Spiked models
di: Mergny, Pierre, et al.
Pubblicazione: (2024)

Fundamental Limits of Matrix Sensing: Exact Asymptotics, Universality, and Applications
di: Xu, Yizhou, et al.
Pubblicazione: (2025)

On the Atypical Solutions of the Symmetric Binary Perceptron
di: Barbier, Damien, et al.
Pubblicazione: (2023)

Bayes-optimal learning of an extensive-width neural network from quadratically many samples
di: Maillard, Antoine, et al.
Pubblicazione: (2024)

Sampling with flows, diffusion and autoregressive neural networks: A spin-glass perspective
di: Ghio, Davide, et al.
Pubblicazione: (2023)

Statistical mechanics of the maximum-average submatrix problem
di: Erba, Vittorio, et al.
Pubblicazione: (2023)

Computational Thresholds in Multi-Modal Learning via the Spiked Matrix-Tensor Model
di: Tabanelli, Hugo, et al.
Pubblicazione: (2025)

Learning with Restricted Boltzmann Machines: Asymptotics of AMP and GD in High Dimensions
di: Xu, Yizhou, et al.
Pubblicazione: (2025)

The phase diagram of compressed sensing with $\ell_0$-norm regularization
di: Barbier, Damien, et al.
Pubblicazione: (2024)

Quenches in the Sherrington-Kirkpatrick model
di: Erba, Vittorio, et al.
Pubblicazione: (2024)

The Nuclear Route: Sharp Asymptotics of ERM in Overparameterized Quadratic Networks
di: Erba, Vittorio, et al.
Pubblicazione: (2025)

Spectral Thresholds in Correlated Spiked Models and Fundamental Limits of Partial Least Squares
di: Mergny, Pierre, et al.
Pubblicazione: (2025)

The maximum-average subtensor problem: equilibrium and out-of-equilibrium properties
di: Erba, Vittorio, et al.
Pubblicazione: (2025)

The planted XY model: thermodynamics and inference
di: Chen, Siyu, et al.
Pubblicazione: (2022)

Compressed sensing with l0-norm: statistical physics analysis and algorithms for signal recovery
di: Barbier, D., et al.
Pubblicazione: (2023)

The committee machine: Computational to statistical gaps in learning a two-layers neural network
di: Aubin, Benjamin, et al.
Pubblicazione: (2018)

Estimating rank-one matrices with mismatched prior and noise: universality and large deviations
di: Guionnet, Alice, et al.
Pubblicazione: (2023)

Counting and Hardness-of-Finding Fixed Points in Cellular Automata on Random Graphs
di: Koller, Cédric, et al.
Pubblicazione: (2024)

Single-Head Attention in High Dimensions: A Theory of Generalization, Weights Spectra, and Scaling Laws
di: Boncoraglio, Fabrizio, et al.
Pubblicazione: (2025)

Matrix denoising: Bayes-optimal estimators via low-degree polynomials
di: Semerjian, Guilhem
Pubblicazione: (2024)

A Friendly Tutorial on Mean-Field Spin Glass Techniques for Non-Physicists
di: Montanari, Andrea, et al.
Pubblicazione: (2022)

Asymptotics of SGD in Sequence-Single Index Models and Single-Layer Attention Networks
di: Arnaboldi, Luca, et al.
Pubblicazione: (2025)

Fundamental limits of learning in sequence multi-index models and deep attention networks: High-dimensional asymptotics and sharp thresholds
di: Troiani, Emanuele, et al.
Pubblicazione: (2025)

Inhomogeneous random graphs with infinite-mean fitness variables
di: Avena, Luca, et al.
Pubblicazione: (2022)

Rigorous Asymptotics for First-Order Algorithms Through the Dynamical Cavity Method
di: Dandi, Yatin, et al.
Pubblicazione: (2026)

Sequential Dynamics in Ising Spin Glasses
di: Dandi, Yatin, et al.
Pubblicazione: (2025)

Analysis of Bootstrap and Subsampling in High-dimensional Regularized Regression
di: Clarté, Lucas, et al.
Pubblicazione: (2024)

The replica-symmetric free energy for Ising spin glasses with orthogonally invariant couplings
di: Fan, Zhou, et al.
Pubblicazione: (2021)

Distribution of singular values in large sample cross-covariance matrices
di: Swain, Arabind, et al.
Pubblicazione: (2025)

Some observations on the ambivalent role of symmetries in Bayesian inference problems
di: Semerjian, Guilhem
Pubblicazione: (2025)

Precise asymptotic analysis of Sobolev training for random feature models
di: Fisher, Katharine E, et al.
Pubblicazione: (2025)

Generalization performance of narrow one-hidden layer networks in the teacher-student setting
di: Ortiz, Rodrigo Pérez, et al.
Pubblicazione: (2025)

The twin peaks of learning neural networks
di: Demyanenko, Elizaveta, et al.
Pubblicazione: (2024)

High-dimensional manifold of solutions in neural networks: insights from statistical physics
di: Malatesta, Enrico M.
Pubblicazione: (2023)

Asymptotics of feature learning in two-layer networks after one gradient-step
di: Cui, Hugo, et al.
Pubblicazione: (2024)

Fundamental computational limits of weak learnability in high-dimensional multi-index models
di: Troiani, Emanuele, et al.
Pubblicazione: (2024)

Gaussian mixtures and non-parametric likelihoods through the lens of statistical mechanics
di: Ghosh, Subhroshekhar, et al.
Pubblicazione: (2026)

Inference in Spreading Processes with Neural-Network Priors
di: Ghio, Davide, et al.
Pubblicazione: (2025)

Correlation thresholds in the steady states of particle systems and spin glasses
di: Calvert, Jacob, et al.
Pubblicazione: (2025)