Model-based Causal Bayesian Optimization.
Scott SussexAnastasia MakarovaAndreas KrausePublished in: ICLR (2023)
Keyphrases
- bayesian networks
- optimization algorithm
- data driven
- causal relationships
- optimization process
- efficient optimization
- optimization problems
- combinatorial optimization
- constrained optimization
- model free
- bayesian learning
- gaussian processes
- optimization method
- decision making
- causal reasoning
- discrete optimization
- real time
- monte carlo sampling
- decision theory
- optimization model
- optimization methods
- global optimization
- genetic algorithm
- neural network