Score Matched Neural Exponential Families for Likelihood-Free Inference.
Lorenzo PacchiardiRitabrata DuttaPublished in: J. Mach. Learn. Res. (2022)
Keyphrases
- exponential family
- variational bayes
- maximum likelihood
- log likelihood
- variational inference
- marginal likelihood
- bayesian inference
- scoring function
- latent variables
- hyperparameters
- graphical models
- density estimation
- posterior distribution
- em algorithm
- probabilistic inference
- statistical models
- closed form
- markov chain monte carlo
- mixture model
- posterior probability
- expectation maximization
- parameter estimation
- bayesian learning
- variational methods
- probabilistic model
- missing values
- gaussian mixture model
- gaussian process
- topic models
- bayesian networks
- order statistics
- latent dirichlet allocation
- markov chain
- probability density function