Randomized approaches to accelerate MCMC algorithms for Bayesian inverse problems.
Arvind K. SaibabaPranjal PrasadEric de SturlerEric L. MillerMisha E. KilmerPublished in: J. Comput. Phys. (2021)
Keyphrases
- inverse problems
- markov chain monte carlo
- optimization problems
- image reconstruction
- posterior distribution
- computational complexity
- bayesian inference
- neural network
- optimization methods
- convex optimization
- computationally expensive
- emission tomography
- global optimization
- image restoration
- model selection
- evolutionary algorithm
- search space
- high quality