Conditionally Factorized Variational Bayes with Importance Sampling.
Runze GanSimon J. GodsillPublished in: ICASSP (2022)
Keyphrases
- importance sampling
- variational bayes
- posterior distribution
- markov chain monte carlo
- latent variables
- monte carlo
- bayesian inference
- hyperparameters
- approximate inference
- probability distribution
- gaussian mixture model
- particle filter
- markov chain
- parameter estimation
- bayesian framework
- kalman filter
- model selection
- maximum a posteriori
- gaussian process
- maximum likelihood
- particle filtering
- noise level
- cross validation
- probabilistic model
- prior information
- posterior probability
- visual tracking
- feature selection
- gaussian distribution
- sample size
- generative model
- expectation maximization
- least squares