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Distributed Parameter Estimation in Probabilistic Graphical Models

2020-01-19 | |  40 |   37 |   0

Abstract

This paper presents foundational theoretical results on distributed parameter estimation for undirected probabilistic graphical models. It introduces a general condition on composite likelihood decompositions of these models which guarantees the global consistency of distributed estimators, provided the local estimators are consistent.

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