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Harald Leisenberger

2 accepted papers

2022

Fixing the Bethe approximation: How structural modifications in a graph improve belief propagation

UAI 2022poster

Belief propagation is an iterative method for inference in probabilistic graphical models. Its well-known relationship to a classical concept from statistical physics, the Bethe free energy, puts it on a solid theoretical foundation. If belief propagation fails to approximate the marginals, then thi…

Cited by 5SourcePDFScholar
2021

Convergence behavior of belief propagation: estimating regions of attraction via Lyapunov functions

UAI 2021poster

In this work, we estimate the regions of attraction for belief propagation. This extends existing stability analysis and provides initial message values for which belief propagation is guaranteed to converge. Our approach utilizes the theory of Lyapunov functions that, however, does not readily yiel…

Cited by 5SourcePDFScholar