New Paradigms for Exploiting Parallel Experiments in Bayesian Optimization.
Leonardo D. GonzálezVictor M. ZavalaPublished in: CoRR (2022)
Keyphrases
- efficient optimization
- optimization problems
- optimization algorithm
- optimization process
- data driven
- global optimization
- neural network
- maximum likelihood
- computer architecture
- shared memory
- bayesian decision
- monte carlo sampling
- parallel computation
- general purpose
- bayesian networks
- constrained optimization
- parallel implementation
- optimization model
- bayesian learning
- parallel processing
- bayesian estimation
- distributed memory
- discrete optimization
- probabilistic model
- parallel hardware
- case study