Randomized Maximum Likelihood Via High-Dimensional Bayesian Optimization.
Valentin BreazRichard WilkinsonPublished in: ICASSP (2024)
Keyphrases
- maximum likelihood
- high dimensional
- parameter estimation
- em algorithm
- likelihood function
- optimization problems
- maximum a posteriori
- nearest neighbor
- optimization algorithm
- similarity search
- optimization method
- feature space
- gaussian distribution
- monte carlo sampling
- efficient optimization
- constrained optimization
- optimization process
- variable selection
- optimization methods
- data driven
- bayesian inference
- hyperparameters
- posterior distribution
- global optimization
- low dimensional
- expectation maximization