Doubly Stochastic Variational Bayes for non-Conjugate Inference.
Michalis K. TitsiasMiguel Lázaro-GredillaPublished in: ICML (2014)
Keyphrases
- variational bayes
- doubly stochastic
- bayesian inference
- latent variables
- hyperparameters
- bayesian learning
- gaussian mixture model
- free energy
- exponential family
- posterior distribution
- latent dirichlet allocation
- poisson process
- weight matrix
- model selection
- log likelihood
- maximum a posteriori
- wavelet coefficients
- probabilistic model
- support vector
- random sampling
- image processing
- random variables
- topic models
- expectation maximization
- maximum likelihood
- language model
- graphical models
- probability distribution
- multiscale