Simplifying deflation for non-convex optimization with applications in Bayesian inference and topology optimization.
Mohamed TarekYijiang HuangPublished in: CoRR (2022)
Keyphrases
- convex optimization
- bayesian inference
- convex optimization problems
- convex relaxation
- norm minimization
- alternating direction method of multipliers
- probabilistic model
- prior information
- interior point methods
- quadratic program
- low rank
- hyperparameters
- semi definite programming
- variational inference
- primal dual
- total variation
- optimization problems
- quadratically constrained quadratic
- operator splitting
- hierarchical bayesian
- prior distribution
- augmented lagrangian method
- particle filter
- machine learning
- semi infinite
- image processing