Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach. Part II: Theoretical Analysis - Archive ouverte HAL
Article Dans Une Revue SIAM Journal on Imaging Sciences Année : 2020

Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach. Part II: Theoretical Analysis

Valentin de Bortoli
  • Fonction : Auteur
  • PersonId : 1084097
  • IdRef : 249460300
Marcelo Pereyra
Ana Fernandez Vidal
Fichier non déposé

Dates et versions

hal-04398573 , version 1 (16-01-2024)

Identifiants

Citer

Valentin de Bortoli, Alain Durmus, Marcelo Pereyra, Ana Fernandez Vidal. Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach. Part II: Theoretical Analysis. SIAM Journal on Imaging Sciences, 2020, 13 (4), pp.1990-2028. ⟨10.1137/20M1339842⟩. ⟨hal-04398573⟩
15 Consultations
0 Téléchargements

Altmetric

Partager

More