Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization.
Xu CaiJonathan ScarlettPublished in: AAAI (2024)
Keyphrases
- bayesian estimation
- posterior probability
- maximum likelihood
- bayesian learning
- data driven
- markov random field prior
- bayesian decision
- posterior distribution
- bayesian inference
- global optimization
- bayesian framework
- optimization problems
- constrained optimization
- bayesian networks
- decision trees
- efficient optimization
- bayesian analysis
- learning algorithm
- data sets