Improving Maximum Likelihood Estimation Using Marginalization and Black-Box Variational Inference.
Soroosh ShalilehPublished in: IDEAL (2021)
Keyphrases
- black box
- maximum likelihood estimation
- variational inference
- posterior distribution
- parameter estimation
- probability distribution
- em algorithm
- expectation maximization
- maximum likelihood
- hyperparameters
- mixture model
- maximum a posteriori
- bayesian inference
- probabilistic model
- latent dirichlet allocation
- posterior probability
- latent variables
- exponential family
- probabilistic graphical models
- approximate inference
- model selection
- bayesian framework
- closed form
- topic models
- variational methods
- least squares
- exact inference
- test cases
- bayesian networks
- data mining
- generative model
- higher order
- message passing
- density function
- principal component analysis
- gaussian process
- gaussian mixture model