Hierarchical Bayesian Inverse Problems: A High-Dimensional Statistics Viewpoint.
Daniel Sanz-AlonsoNathan WaniorekPublished in: CoRR (2024)
Keyphrases
- hierarchical bayesian
- inverse problems
- high dimensional
- image reconstruction
- global optimization
- convex optimization
- parameter space
- optimization problems
- bayesian inference
- gibbs sampling
- optimization methods
- dimensionality reduction
- early vision
- variational inference
- partial differential equations
- feature space
- multiscale
- particle swarm optimization
- bayesian framework