On casting importance weighted autoencoder to an EM algorithm to learn deep generative models.
Dongha KimJaesung HwangYongdai KimPublished in: AISTATS (2020)
Keyphrases
- generative model
- em algorithm
- expectation maximization
- mixture model
- maximum likelihood
- parameter estimation
- bayesian framework
- maximum likelihood estimation
- likelihood function
- gaussian mixture model
- log likelihood
- discriminative learning
- parameter learning
- incomplete data
- conditional random fields
- probabilistic model
- posterior probability
- hidden variables
- gibbs sampling
- deep belief networks
- probability density function
- latent dirichlet allocation
- object categories
- information retrieval
- topic models
- prior knowledge
- discriminative models
- maximum entropy principle
- computer vision
- markov networks
- unsupervised learning
- graphical models
- deep learning