most citedBayesian Posterior Sampling via Stochastic Gradient Fisher Scoring

111 citations · 271 across the 11 of their papers we have counts for

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cs.AI2013103 cited

Belief Optimization for Binary Networks: A Stable Alternative to Loopy Belief Propagation

Max Welling, Yee Whye Teh

We present a novel inference algorithm for arbitrary, binary, undirected graphs. Unlike loopy belief propagation, which iterates fixed point equations, we directly descend on the B…

cs.AI20122 cited

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…

cs.AI20124 cited

Generalized Belief Propagation on Tree Robust Structured Region Graphs

Andrew E. Gelfand, Max Welling

This paper provides some new guidance in the construction of region graphs for Generalized Belief Propagation (GBP). We connect the problem of choosing the outer regions of a LoopS…

cs.AI20124 cited

On the Choice of Regions for Generalized Belief Propagation

Max Welling

Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of cluster…

cs.AI201233 cited

Structured Region Graphs: Morphing EP into GBP

Max Welling, Thomas P. Minka, Yee Whye Teh

GBP and EP are two successful algorithms for approximate probabilistic inference, which are based on different approximation strategies. An open problem in both algorithms has been…