Publications

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. On a 'two truths' phenomenon in spectral graph clustering. Proceedings of the National Academy of Sciences of the USA., 2019.

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. On spectral embedding performance and elucidating network structure. Journal of Network Science, 2018.

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. Limit theorems for eigenvectors of the normalized Laplacian for random graphs. Annals of Statistics, 2018.

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. Signal-plus-noise matrix models: eigenvector deviations and fluctuations. Biometrika, 2018.

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. A statistical interpretation of spectral embedding: the generalised random dot product graph. Arxiv preprint, 2018.

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. Statistical inference on random dot product graphs: a survey. Journal of Machine Learning Research, 2018.

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. The two-to-infinity norm and singular subspace geometry with applications to high-dimensional statistics. Annals of Statistics, 2018.

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. On estimation and inference in latent structure random graphs. Statistical Science, 2018.

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. A central limit theorem for classical multidimensional scaling. Arxiv preprint, 2018.

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. The eigenvalues of stochastic blockmodel graphs. Arxiv preprint, 2018.

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. Asymptotically efficient estimators for stochastic blockmodels: the naive MLE, the rank-constrained MLE, and the spectral. Arxiv preprint, 2017.

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. A central limit theorem for an omnibus embedding of random dot product graphs. Arxiv preprint, 2017.

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. The Kato-Temple inequality and eigenvalue concentration with applications to graph inference. Electronic Journal of Statistics, 2017.

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. A nonparametric two-sample hypothesis testing problem for random dot product graphs. Bernoulli, 2017.

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. Robust estimation from multiple graphs under gross error contamination. Arxiv preprint, 2017.

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. A semiparametric two-sample hypothesis testing problem for random dot product graphs. Journal of Computational and Graphical Statistics, 2017.

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. Community detection and classification in hierarchical stochastic blockmodels. IEEE Transactions on Network Science and Engineering, 2017.

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. Empirical Bayes estimation for the stochastic blockmodels. Electronic Journal of Statistics, 2016.

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. A limit theorem for scaled eigenvectors of random dot product graphs. Sankhya A, 2016.

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. Statistical inference on errorfully observed graphs. Journal of Computational Graphical Statistics, 2015.

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. Generalized canonical correlation analysis for classification. Journal of Multivariate Analysis, 2014.

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. Perfect clustering for stochastic blockmodel graphs via adjacency spectral embedding. Electronic Journal of Statistics, 2014.

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. Locality statistics for anomaly detection in time series of graphs. IEEE Transactions on Signal Processing, 2014.

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. Consistent latent position estimation and vertex classification for random dot product graphs. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014.

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. On latent position inference from doubly stochastic messaging activities. Multiscale Modeling and Simulation, 2013.

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. Universally consistent vertex classification for latent position graphs. Annals of Statistics, 2013.

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. Attribute fusion in a latent process model for time series of graphs. IEEE Transactions on Signal Processing, 2013.

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. Generalized canonical correlation analysis for disparate data fusion. Pattern Recognition Letters, 2013.

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. Consistent adjacency-spectral partitioning for the stochastic block model when the model parameters are unknown. SIAM Journal on Matrix Analysis and Applications, 2013.

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. A consistent adjacency spectral embedding for stochastic blockmodel graphs. Journal of the American Statistical Association, 2012.

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