Principled Parallel Mean-Field Inference for Discrete Random Fields

CVPR 2016 Pierre BaquéTimur BagautdinovFrançois FleuretPascal Fua

Mean-field variational inference is one of the most popular approaches to inference in discrete random fields. Standard mean-field optimization is based on coordinate descent and in many situations can be impractical... (read more)

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