Bayesian Optimization with High-Dimensional Outputs.
Wesley J. MaddoxMaximilian BalandatAndrew Gordon WilsonEytan BakshyPublished in: NeurIPS (2021)
Keyphrases
- high dimensional
- sparse data
- low dimensional
- efficient optimization
- global optimization
- similarity search
- gaussian processes
- dimensionality reduction
- optimization algorithm
- monte carlo sampling
- high dimensionality
- optimization method
- data driven
- optimization problems
- feature selection
- maximum likelihood
- multi objective
- feature space
- noisy data
- search algorithm
- optimization model
- bayesian networks
- discrete optimization
- data sets