Decreasing the Computing Time of Bayesian Optimization using Generalizable Memory Pruning.
Alexander E. SiemennTonio BuonassisiPublished in: CoRR (2023)
Keyphrases
- bayesian networks
- search space
- optimization problems
- monte carlo sampling
- efficient optimization
- computing power
- optimization methods
- bayesian inference
- bayesian decision
- data sets
- pruning algorithm
- bayesian learning
- memory usage
- constrained optimization
- optimization process
- optimization method
- information processing
- maximum likelihood
- probability distribution
- efficient computation
- optimization model
- posterior probability
- memory requirements
- memory space
- optimization algorithm
- optimization strategies
- pruning method