Approximating exponential family models (not single distributions) with a two-network architecture.
Sean R. BittnerJohn P. CunninghamPublished in: CoRR (2019)
Keyphrases
- exponential family
- network architecture
- statistical models
- maximum likelihood
- density estimation
- graphical models
- closed form
- mixture model
- mixed membership
- log likelihood
- kl divergence
- missing values
- neural network model
- probabilistic model
- hidden variables
- variational methods
- order statistics
- artificial neural
- probability distribution
- statistical model
- least squares
- generative model
- semi supervised
- markov chain monte carlo
- genetic algorithm