34 citations · 88 across the 9 of their papers we have counts for
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cs.CV2015★ 1 cited
Principled Parallel Mean-Field Inference for Discrete Random Fields
Pierre Baqué, Timur Bagautdinov, François Fleuret +1
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 i…
cs.LG2015
A provably convergent alternating minimization method for mean field inference
Pierre Baqué, Jean-Hubert Hours, François Fleuret +1
Mean-Field is an efficient way to approximate a posterior distribution in complex graphical models and constitutes the most popular class of Bayesian variational approximation meth…