Search Results for author: Edo M. Airoldi

Found 2 papers, 0 papers with code

Confidence Sets for Network Structure

no code implementations NeurIPS 2011 David S. Choi, Patrick J. Wolfe, Edo M. Airoldi

Latent variable models are frequently used to identify structure in dichotomous network data, in part because they give rise to a Bernoulli product likelihood that is both well understood and consistent with the notion of exchangeable random graphs.

Mixed Membership Stochastic Blockmodels

no code implementations NeurIPS 2008 Edo M. Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing

Observations consisting of measurements on relationships for pairs of objects arise in many settings, such as protein interaction and gene regulatory networks, collections of author-recipient email, and social networks.

Variational Inference

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