Amortized Bayesian inference for clustering models.

Ari Pakman Liam Paninski

Published in: CoRR (2018)

Keyphrases

bayesian inference
probabilistic model
variational inference
gibbs sampler
probabilistic modeling
hidden variables
k means
bayesian models
clustering algorithm
prior information
unsupervised learning
statistical models
prior distribution
maximum likelihood
decision trees
data sets
weighted model counting