Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization.
Samuel DaultonXingchen WanDavid ErikssonMaximilian BalandatMichael A. OsborneEytan BakshyPublished in: NeurIPS (2022)
Keyphrases
- bayesian networks
- posterior probability
- data driven
- continuous optimization
- efficient optimization
- optimization algorithm
- optimization problems
- optimization model
- optimization process
- decision theory
- optimization method
- point sets
- global optimization
- continuous valued
- maximum likelihood
- discrete valued
- probabilistic model
- optimization methods
- discrete version
- discrete data
- probabilistic logic
- continuous variables
- graphical models
- bayesian learning
- posterior distribution
- genetic algorithm
- discrete geometry
- belief networks
- combinatorial optimization
- generative model
- generalized em algorithm