Bayesian Optimization with Unknown Constraints.
Michael A. GelbartJasper SnoekRyan P. AdamsPublished in: CoRR (2014)
Keyphrases
- constrained optimization
- optimization criteria
- optimization process
- optimization problems
- optimization algorithm
- discrete optimization
- monte carlo sampling
- optimization model
- global constraints
- geometric constraints
- global optimization
- data driven
- bayesian decision
- lower bound
- bayesian learning
- penalty function
- efficient optimization
- np hard optimization problems
- highly non linear
- chance constraints
- neural network
- bayesian estimation
- evolution strategy
- posterior probability
- combinatorial optimization
- differential evolution
- generative model
- scheduling problem
- bayesian networks
- genetic algorithm