144 citations · 324 across the 35 of their papers we have counts for
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cs.LG2015★ 1 cited
Maximum Likelihood Learning With Arbitrary Treewidth via Fast-Mixing Parameter Sets
Justin Domke
Inference is typically intractable in high-treewidth undirected graphical models, making maximum likelihood learning a challenge. One way to overcome this is to restrict parameters…
cs.LG2015★ 2 cited
Clamping Improves TRW and Mean Field Approximations
Adrian Weller, Justin Domke
We examine the effect of clamping variables for approximate inference in undirected graphical models with pairwise relationships and discrete variables. For any number of variable…