A gradient-free subspace-adjusting ensemble sampler for infinite-dimensional Bayesian inverse problems.
Matthew M. DunlopGeorg StadlerPublished in: CoRR (2022)
Keyphrases
- infinite dimensional
- inverse problems
- image reconstruction
- finite dimensional
- global optimization
- convex optimization
- convex sets
- low dimensional
- optimization methods
- partial differential equations
- principal component analysis
- higher dimensional
- shape space
- early vision
- edge detection
- high dimensional
- feature space
- high dimensional data
- image processing
- image gradient
- closed curves
- video sequences