Variational Inference on Infinite Mixtures of Inverse Gaussian, Multinomial Probit and Exponential Regression.

Sk. Minhazul Islam Arunava Banerjee

Published in: ICMLA (2014)

Keyphrases

variational inference
mixture model
exponential family
maximum likelihood
probabilistic model
gaussian mixture model
em algorithm
gaussian process
expectation maximization
regression model
gaussian processes

model selection
bayesian inference
gaussian distribution
latent variables
hyperparameters
generative model
posterior distribution
density estimation
variational methods
topic models
latent dirichlet allocation

graphical models
parameter estimation
log likelihood
probabilistic graphical models
language model
dirichlet process
approximate inference
bayesian framework
hidden variables
closed form
conditional random fields

unsupervised learning
maximum a posteriori
markov networks
text classification
semi supervised
bayesian networks
posterior probability
machine learning
missing values
statistical models
support vector