Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference.
Declan McNamaraJackson LoperJeffrey RegierPublished in: CoRR (2024)
Keyphrases
- sequential monte carlo
- variational inference
- posterior distribution
- probability distribution
- bayesian inference
- parameter estimation
- latent variables
- bayesian framework
- particle filter
- posterior probability
- worst case
- maximum a posteriori
- markov chain monte carlo
- gaussian process
- mixture model
- probabilistic model
- hyperparameters
- topic models
- variational methods
- latent dirichlet allocation
- gaussian distribution
- closed form
- visual tracking
- particle filtering
- expectation maximization
- parameter settings
- model selection
- machine learning
- image reconstruction
- generative model