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Minh Tang

The eigenvalues of stochastic blockmodel graphs

Mar 30, 2018
Minh Tang

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* 13 pages, 2 figures

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Statistical inference on random dot product graphs: a survey

Sep 16, 2017
Avanti Athreya, Donniell E. Fishkind, Keith Levin, Vince Lyzinski, Youngser Park, Yichen Qin, Daniel L. Sussman, Minh Tang, Joshua T. Vogelstein, Carey E. Priebe

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* Journal of Machine Learning Research, 2018
* An expository survey paper on a comprehensive paradigm for inference for random dot product graphs, centered on graph adjacency and Laplacian spectral embeddings. Paper outlines requisite background; summarizes theory, methodology, and applications from previous and ongoing work; and closes with a discussion of several open problems

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Community Detection and Classification in Hierarchical Stochastic Blockmodels

Aug 26, 2016
Vince Lyzinski, Minh Tang, Avanti Athreya, Youngser Park, Carey E. Priebe

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* 17 pages, 7 figures

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Limit theorems for eigenvectors of the normalized Laplacian for random graphs

Jul 28, 2016
Minh Tang, Carey E. Priebe

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* 52 pages, 4 figures

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Empirical Bayes Estimation for the Stochastic Blockmodel

Feb 09, 2016
Shakira Suwan, Dominic S. Lee, Runze Tang, Daniel L. Sussman, Minh Tang, Carey E. Priebe

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* to appear at Electronic Journal of Statistics

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Perfect Clustering for Stochastic Blockmodel Graphs via Adjacency Spectral Embedding

Jan 15, 2015
Vince Lyzinski, Daniel Sussman, Minh Tang, Avanti Athreya, Carey Priebe

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* Electronic Journal of Statistics, 8 (2014) 2905--2922
* 22 pages, including references; 2 figures

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