ProDAG: Projection-induced variational inference for directed acyclic graphs.

Ryan Thompson Edwin V. Bonilla Robert Kohn

Published in: CoRR (2024)

Keyphrases

directed acyclic graph
variational inference
bayesian inference
probabilistic graphical models
mixture model
topic models
gaussian process
probabilistic model

variational methods
latent dirichlet allocation
posterior distribution
random variables
closed form
conditional independence
graphical models

directed graph
approximate inference
factor graphs
causal models
exponential family
exact inference
hyperparameters

prior information
optic flow
knowledge representation
model selection
active learning
belief propagation
expectation maximization