On variance reduction for stochastic smooth convex optimization with multiplicative noise.
Alejandro JofréPhilip ThompsonPublished in: Math. Program. (2019)
Keyphrases
- convex optimization
- variance reduction
- multiplicative noise
- total variation
- monte carlo
- denoising
- image denoising
- image restoration
- additive noise
- sample size
- noise reduction
- synthetic aperture radar
- noisy images
- sar images
- importance sampling
- markov chain
- spatial domain
- denoising algorithm
- image processing
- maximum likelihood
- natural images
- graphical models
- edge preserving
- upper bound
- multiresolution
- face recognition