26 citations · 126 across the 11 of their papers we have counts for
4 papers · 1 filter
Distributed Parameter Estimation via Pseudo-likelihood
Qiang Liu, Alexander Ihler
Estimating statistical models within sensor networks requires distributed algorithms, in which both data and computation are distributed across the nodes of the network. We propose…
Negative Tree Reweighted Belief Propagation
Qiang Liu, Alexander T. Ihler
We introduce a new class of lower bounds on the log partition function of a Markov random field which makes use of a reversed Jensen's inequality. In particular, our method approxi…
Tightening MRF Relaxations with Planar Subproblems
Julian Yarkony, Ragib Morshed, Alexander T. Ihler +1
We describe a new technique for computing lower-bounds on the minimum energy configuration of a planar Markov Random Field (MRF). Our method successively adds large numbers of cons…
Variational Algorithms for Marginal MAP
Qiang Liu, Alexander T. Ihler
Marginal MAP problems are notoriously difficult tasks for graphical models. We derive a general variational framework for solving marginal MAP problems, in which we apply analogues…