Functional causal Bayesian optimization.
Limor GultchinVirginia AgliettiAlexis BellotSilvia ChiappaPublished in: UAI (2023)
Keyphrases
- bayesian networks
- efficient optimization
- optimization algorithm
- data driven
- optimization strategies
- monte carlo sampling
- optimization problems
- data sets
- optimization method
- global optimization
- optimization process
- bayesian estimation
- bayesian inference
- discrete optimization
- causal reasoning
- optimization model
- causal relationships
- optimization methods
- posterior probability
- learning algorithm