Demystifying Bayesian Inference Workloads.
Yu Emma WangYuhao ZhuGlenn G. KoBrandon ReagenGu-Yeon WeiDavid BrooksPublished in: ISPASS (2019)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- hyperparameters
- bayesian model
- variational inference
- gibbs sampler
- hierarchical bayesian
- markov networks
- database systems
- statistical inference
- prior distribution
- weighted model counting
- hidden variables
- markov chain monte carlo
- probabilistic modeling
- expectation propagation
- particle filter
- inference process
- bayesian models
- variational approximation