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Efficiently Solving Convex Relaxations for MAP Estimation
Published on Feb 4, 20254607 Views
The problem of obtaining the maximum a posteriori (MAP) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build on the tree reweighte