Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference.
Declan McNamaraJackson LoperJeffrey RegierPublished in: AISTATS (2024)
Keyphrases
- sequential monte carlo
- variational inference
- posterior distribution
- bayesian inference
- probability distribution
- latent variables
- bayesian framework
- parameter estimation
- particle filter
- hyperparameters
- maximum a posteriori
- worst case
- posterior probability
- topic models
- probabilistic model
- mixture model
- closed form
- markov chain monte carlo
- latent dirichlet allocation
- visual tracking
- gaussian process
- exponential family
- variational methods
- markov random field
- particle filtering
- expectation maximization
- least squares
- prior information
- object tracking
- state space
- gaussian distribution
- computer vision
- cross validation
- prior knowledge
- video sequences