Learning Communities in the Presence of Errors

10 Nov 2015Konstantin MakarychevYury MakarychevAravindan Vijayaraghavan

We study the problem of learning communities in the presence of modeling errors and give robust recovery algorithms for the Stochastic Block Model (SBM). This model, which is also known as the Planted Partition Model, is widely used for community detection and graph partitioning in various fields, including machine learning, statistics, and social sciences... (read more)

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