Manifold Sampling for Optimizing Nonsmooth Nonconvex Compositions.
Jeffrey LarsonMatt MenickellyBaoyu ZhouPublished in: SIAM J. Optim. (2021)
Keyphrases
- image restoration and reconstruction
- globally convergent
- parameter space
- convex functions
- random sampling
- low dimensional
- objective function
- global optimization
- sample size
- optimization problems
- markov random field
- sampling strategy
- nonlinear programming
- high dimensional
- variational inequalities
- monte carlo
- newton method
- convex optimization
- manifold learning
- euclidean space
- feature space
- sampling algorithm
- active learning
- sampling methods
- autocalibration
- image segmentation