High Dimensional Bayesian Optimization using Dropout.
Cheng LiSunil GuptaSantu RanaVu NguyenSvetha VenkateshAlistair ShiltonPublished in: IJCAI (2017)
Keyphrases
- high dimensional
- low dimensional
- optimization algorithm
- similarity search
- bayesian networks
- optimization problems
- efficient optimization
- monte carlo sampling
- bayesian estimation
- gaussian processes
- optimization process
- global optimization
- maximum likelihood
- data driven
- nearest neighbor
- data points
- microarray data
- posterior probability
- high dimensionality
- high dimensional problems