Augmented Dual Decomposition for MAP Inference
Martins, A.
;
Figueiredo, M. A. T.
; Aguiar, P.
; Smith, N. A.
; Xing, E. P.
Augmented Dual Decomposition for MAP Inference, Proc NIPS Workshop in Optimization for Machine Learning, Whistler, Canada, Vol. ?, pp. ? - ?, December, 2010.
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Abstract
In this paper, we propose combining augmented Lagrangian optimization
with the dual
decomposition method to obtain a fast algorithm for approximate MAP
(\emph{maximum a posteriori}) inference on factor graphs. We also show how the
proposed algorithm can efficiently handle problems with (possibly global)
structural constraints. The experimental results reported testify for the
state-of-the-art performance of the proposed approach.
