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Implicit Variational Inference: the Parameter and the Predictor Space.
Yann Pequignot
Mathieu Alain
Patrick Dallaire
Alireza Yeganehparast
Pascal Germain
Josée Desharnais
François Laviolette
Published in:
CoRR (2020)
Keyphrases
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variational inference
bayesian inference
topic models
parameter space
probabilistic model
closed form
latent dirichlet allocation
posterior distribution
gaussian process
model selection
mixture model
probabilistic graphical models
factor graphs