26 citations · 126 across the 11 of their papers we have counts for
11 papers
A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation
Max Welling, Andrew E. Gelfand, Alexander T. Ihler
We introduce a new cluster-cumulant expansion (CCE) based on the fixed points of iterative belief propagation (IBP). This expansion is similar in spirit to the loop-series (LS) rec…
Belief Propagation for Structured Decision Making
Qiang Liu, Alexander T. Ihler
Variational inference algorithms such as belief propagation have had tremendous impact on our ability to learn and use graphical models, and give many insights for developing or un…
Join-graph based cost-shifting schemes
Alexander T. Ihler, Natalia Flerova, Rina Dechter +1
We develop several algorithms taking advantage of two common approaches for bounding MPE queries in graphical models: minibucket elimination and message-passing updates for linear…
Fast Planar Correlation Clustering for Image Segmentation
Julian Yarkony, Alexander T. Ihler, Charless C. Fowlkes
We describe a new optimization scheme for finding high-quality correlation clusterings in planar graphs that uses weighted perfect matching as a subroutine. Our method provides low…
Gibbs Sampling for (Coupled) Infinite Mixture Models in the Stick Breaking Representation
Ian Porteous, Alexander T. Ihler, Padhraic Smyth +1
Nonparametric Bayesian approaches to clustering, information retrieval, language modeling and object recognition have recently shown great promise as a new paradigm for unsupervise…
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…