Constrained Causal Bayesian Optimization.
Virginia AgliettiAlan MalekIra KtenaSilvia ChiappaPublished in: ICML (2023)
Keyphrases
- concave convex procedure
- bayesian networks
- optimization problems
- saddle point
- maximum likelihood
- optimization algorithm
- optimization process
- monte carlo sampling
- optimization methods
- bayesian decision
- causal independence
- global optimization
- bayesian estimation
- posterior probability
- causal networks
- causal reasoning
- causal models
- neural network
- optimization method
- simulated annealing
- database systems
- image segmentation
- decision making
- data mining