BayesTuner: Leveraging Bayesian Optimization For DNN Inference Configuration Selection.
Seyed Morteza NabavinejadSherief RedaPublished in: IEEE Comput. Archit. Lett. (2021)
Keyphrases
- bayesian networks
- bayesian inference
- optimal configuration
- dual decomposition
- bayesian model
- optimal selection
- optimization problems
- data driven
- optimization algorithm
- probabilistic inference
- efficient optimization
- optimization process
- inference process
- constrained optimization
- bayesian analysis
- fine tuning
- neural network
- selection algorithm
- optimization method
- statistical inference
- optimization model
- training process
- posterior probability
- maximum likelihood
- hidden markov models
- monte carlo sampling
- belief nets
- bayesian decision