Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks.
Mohamed Aziz BhouriMichael JolyRobert YuSoumalya SarkarParis PerdikarisPublished in: CoRR (2023)
Keyphrases
- high dimensional
- social networks
- optimization algorithm
- optimization problems
- prior distribution
- global optimization
- prior knowledge
- efficient optimization
- low dimensional
- bayesian methods
- nearest neighbor
- similarity search
- prior probabilities
- optimization method
- constrained optimization
- data sets
- monte carlo sampling
- bayesian learning
- sparse data
- decision theory
- optimization process
- noisy data
- computer networks
- high dimensionality
- end to end
- network structure
- multi dimensional
- dimensionality reduction
- bayesian networks