Decentralized Black-Box Variational Inference for Bayesian Learning on Sensor Networks.
Jose CadenaPriyadip RayRyan A. GoldhahnPublished in: ACSCC (2021)
Keyphrases
- sensor networks
- black box
- bayesian learning
- posterior distribution
- probability distribution
- latent variables
- parameter estimation
- wireless sensor networks
- model selection
- hyperparameters
- bayesian framework
- data streams
- posterior probability
- maximum a posteriori
- gaussian process
- distributed systems
- markov chain monte carlo
- variational methods
- bayesian inference
- expectation maximization
- topic models
- closed form
- hidden variables
- gaussian distribution
- exponential family
- mixture model
- probabilistic model
- prior information
- cross validation
- energy function
- generative model
- maximum likelihood
- higher order
- semi supervised
- prior knowledge
- exact inference
- bayesian networks