Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization.
ChengYue GongJian PengQiang LiuPublished in: ICML (2019)
Keyphrases
- optimization problems
- cost function
- maximum likelihood
- evolutionary algorithm
- optimization algorithm
- global optimization
- objective function
- neural network
- optimization methods
- bayesian inference
- loss function
- monte carlo sampling
- conjugate gradient
- gaussian processes
- constrained optimization
- optimization process
- combinatorial optimization
- bayesian networks
- computer vision