Jan 11, 2016 · Abstract:We give upper and lower bounds on the information-theoretic threshold for community detection in the stochastic block model.
Abstract. We give upper and lower bounds on the information-theoretic threshold for community detection in the stochastic block model.
We give upper and lower bounds on the information-theoretic threshold for community detection in the stochastic block model. Specifically, let $k$ be the ...
Information-theoretic thresholds for community detection in sparse networks · Jessica E. Banks, Cristopher Moore, +1 author. Praneeth Netrapalli · Published in ...
Duration: 14:17
Posted: Jul 19, 2016
Posted: Jul 19, 2016
Aug 13, 2018 · Bibliographic details on Information-theoretic thresholds for community detection in sparse networks.
This suggests that algorithms based on semidefinite programming are robust in ways that any algorithm meeting the information-theoretic threshold cannot be.
We analyze the information-theoretic limits for the recovery of node labels in several network models. This includes the Stochastic Block Model, the Exponential ...
Missing: thresholds sparse
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Information theoretic lower bounds. In this section, we state and prove lower bounds on the risk of any test whatsoever. In most cases, we find sufficient.
Vindicating a sophisticated but non-rigorous physics approach called the cavity method, we establish a formula for the mutual information in statistical ...