A Distributed Block-Split Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems
Author:
Affiliation:
1. Univ. of Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, Lille, France
2. School of Mathematics and Computer Sciences, and School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, UK
Funder
Chaire IA Sherlock
programme d’investissements d’avenir
Région Hauts-de-France
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/10618600.2023.2282501
Reference39 articles.
1. Bauschke, H. H., and Combettes, P. L. (2017), Convex Analysis and Monotone Operator Theory in Hilbert Spaces, New York: Springer.
2. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
3. Sparse interferometric Stokes imaging under the polarization constraint (Polarized SARA)
4. Proximal alternating linearized minimization for nonconvex and nonsmooth problems
5. Uncertainty quantification for radio interferometric imaging – I. Proximal MCMC methods
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