Model-based Causal Bayesian Optimization.
Scott SussexAnastasiia MakarovaAndreas KrausePublished in: CoRR (2022)
Keyphrases
- bayesian networks
- optimization algorithm
- data driven
- optimization strategies
- global optimization
- constrained optimization
- causal reasoning
- optimization method
- monte carlo sampling
- knowledge base
- causal networks
- efficient optimization
- bayesian learning
- optimization model
- optimization process
- optimization methods
- logic programs
- graphical models
- optimization problems
- search algorithm
- support vector
- image segmentation