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cs.LG2014★ 3 cited
Projecting Markov Random Field Parameters for Fast Mixing
Xianghang Liu, Justin Domke
Markov chain Monte Carlo (MCMC) algorithms are simple and extremely powerful techniques to sample from almost arbitrary distributions. The flaw in practice is that it can take a la…
cs.LG2014
Projecting Ising Model Parameters for Fast Mixing
Justin Domke, Xianghang Liu
Inference in general Ising models is difficult, due to high treewidth making tree-based algorithms intractable. Moreover, when interactions are strong, Gibbs sampling may take expo…