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Assessment and Adjustment of Approximate Inference Algorithms Using the Law of Total Variance.
Xuejun Yu
David J. Nott
Minh-Ngoc Tran
Nadja Klein
Published in:
J. Comput. Graph. Stat. (2021)
Keyphrases
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approximate inference
graphical models
loopy belief propagation
learning algorithm
variational methods
image processing
probabilistic inference
gaussian process
parameter estimation
image matching
belief propagation
latent variables
markov chain monte carlo