Unbiased estimation of the gradient of the log-likelihood in inverse problems.
Ajay JasraKody J. H. LawDeng LuPublished in: Stat. Comput. (2021)
Keyphrases
- log likelihood
- inverse problems
- density estimation
- global optimization
- image reconstruction
- maximum likelihood
- information theoretic
- convex optimization
- scoring function
- optimization methods
- em algorithm
- parameter estimation
- optimization problems
- closed form
- early vision
- object recognition
- smoothness constraint
- high quality
- gaussian mixture model
- parameter space
- partial differential equations
- mutual information
- computationally expensive
- image segmentation
- graphical models
- mixture model
- super resolution