Removing the mini-batching error in Bayesian inference using Adaptive Langevin dynamics.
Inass SekkatGabriel StoltzPublished in: CoRR (2021)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- bayesian model
- hyperparameters
- hierarchical bayesian
- statistical inference
- variational inference
- hidden variables
- variational bayes
- inference process
- weighted model counting
- markov chain monte carlo
- particle filter
- scheduling problem
- bayesian models
- gibbs sampler
- data sets
- prior distribution
- higher order
- batch processing
- pairwise
- expectation propagation
- tracking error
- machine learning