Causal Bayesian Optimization.
Virginia AgliettiXiaoyu LuAndrei PaleyesJavier GonzálezPublished in: CoRR (2020)
Keyphrases
- bayesian networks
- optimization algorithm
- monte carlo sampling
- maximum likelihood
- global optimization
- optimization problems
- support vector
- efficient optimization
- data driven
- bayesian estimation
- causal models
- constrained optimization
- database
- database systems
- causal relations
- evolution strategy
- posterior distribution
- optimization methods
- optimization method
- data sets
- generative model
- prior knowledge
- artificial intelligence