Publications on DARPA D3M:
Journals
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Congyuan Yang, Carey E. Priebe, Youngser Park, David J. Marchette,
"Simultaneous
Dimensionality and Complexity Model Selection for Spectral Graph
Clustering," Journal of Computational and Graphical Statistics,
accepted for publication, 2020. publisher
site
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Jesús Arroyo, Avanti Athreya, Joshua Cape, Guodong Chen, Carey E.
Priebe, and Joshua T. Vogelstein, "Inference for multiple heterogeneous networks with a common invariant
subspace," Journal of Machine Learning Research, accepted for publication, 2020.
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Shangsi Wang, Jesus Arroyo, Joshua T. Vogelstein, Carey E. Priebe,
"Joint Embedding of
Graphs," IEEE Transactions on Pattern Analysis and Machine
Intelligence, vol 43, no 4, pp 1324-1336, 2021. publisher site
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Avanti Athreya, Minh Tang, Youngser Park, Carey E. Priebe,
"On estimation and
inference in latent structure random graphs," Statistical
Science, vol 36, no 1, pp 68-88, 2021. publisher site, pdf copy
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Joshua Agterberg, Youngser Park, Jonathan Larson, Christopher White,
Carey E. Priebe, and Vince Lyzinski, "Vertex Nomination,
Consistent Estimation, and Adversarial Modification," Electronic
Journal of Statistics, vol. 14, no. 2, pp. 3230-3267, 2020. publisher site
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Heather G. Patsolic, Youngser Park, Vince Lyzinski,
Carey E. Priebe, "Vertex Nomination Via Seeded
Graph Matching," Statistical Analysis and Data Mining,
vol 13, no 3, pp 229-244, June 2020. publisher site
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Jordan Yoder, Li Chen, Henry Pao, Eric Bridgeford, Keith Levin,
Donniell Fishkind, Carey E. Priebe, Vince Lyzinski,
"Vertex nomination: The
canonical sampling and the extended spectral nomination
schemes," Computational Statistics
and Data Analysis, vol 145, May 2020. publisher site
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Donniell E. Fishkind, Lingyao Meng, Ao Sun, Carey E. Priebe, Vince Lyzinski,
"Alignment Strength and
Correlation for Graphs," Pattern Recognition Letters, vol 125,
no 2019, pp 295-302, 2019. publisher site
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Joshua Cape, Minh Tang, Carey E. Priebe,
"On spectral embedding
performance and elucidating network structure in stochastic block
model graphs," Network Science, vol 7, no 3, pp 269-291, 2019. publisher site
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Joshua Cape, Minh Tang, Carey E. Priebe, "The two-to-infinity norm and
singular subspace geometry with applications to high-dimensional
statistics," Annals of Statistics, vol 47, no 5, pp 2405-2439,
2019. publisher site
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Vince Lyzinski, Keith Levin, Carey E. Priebe,
"On consistent vertex
nomination schemes," Journal of Machine Learning Research, vol
20, no 69, pp 1-39, 2019. publisher site
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Joshua Cape, Minh Tang, Carey E. Priebe,
"Signal-plus-noise matrix
models: eigenvector deviations and fluctuations," Biometrika,
vol 106, no 1, pp 243-250, 2019.
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Carey E. Priebe, Youngser Park, Joshua T. Vogelstein, John
M. Conroy, Vince Lyzinski, Minh Tang, Avanti Athreya, Joshua Cape,
and Eric Bridgeford,
"On a 'Two Truths'
Phenomenon in Spectral Graph Clustering," Proceedings of the
National Academy of Sciences, vol. 116, no. 13, pp 5995-6000, 2019, publisher
site.
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Donniell E. Fishkind, Sancar Adali, Heather G. Patsolic, Lingyao Meng, Digvijay Singh, Vince Lyzinski,
Carey E. Priebe, "Seeded Graph Matching,"
Pattern Recognition, vol 87, pp 203-215, 2019. publisher site
Submitted
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Donniell E. Fishkind, Felix Parker, Hamilton Sawczuk, Lingyao Meng, Eric Bridgeford, Avanti Athreya, Carey E. Priebe, Vince Lyzinski
"On Phantom Alignment Strength,"
Submitted, 2021
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Joshua Agterberg, Minh Tang, Carey E Priebe,
"Nonparametric Two-Sample Hypothesis Testing for Random Graphs with Negative and Repeated Eigenvalues," submitted, 2020
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Carey E. Priebe, Cencheng Shen, Ningyuan (Teresa) Huang, Tianyi Chen,
"A Simple Spectral Failure Mode for Graph Convolutional Networks," submitted, 2020
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Anton A. Alyakin, Joshua Agterberg, Hayden S. Helm,
Carey E. Priebe,
"Correcting a Nonparametric Two-sample Graph Hypothesis Test for Graphs with Different Numbers of Vertices," submitted, 2020
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Chen, Guodong; Arroyo, Jesús; Athreya, Avanti; Cape, Joshua;
Vogelstein, Joshua; Park, Youngser; White, Christopher; Larson,
Jonathan; Yang, Weiwei; Priebe, Carey E.,
"Multiple Network Embedding for Anomaly Detection in Time Series of Graphs," submitted, 2020
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Cong Mu, Angelo Mele, Lingxin Hao, Joshua Cape, Avanti Athreya,
Carey E. Priebe,
"On identifying unobserved heterogeneity in stochastic blockmodel graphs with vertex covariates," submitted, 2020
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Keith Levin, Carey E Priebe,Vince Lyzinski,
"On the role of features in vertex nomination: Content and context together are better (sometimes)," submitted, 2020
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Michael Trosset, Carey E. Priebe,
"Approximate Information Tests on Statistical Submanifolds," submitted, 2019.
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Shangsi Wang, Cencheng Shen, Alexandra Badea, Carey E. Priebe, Joshua T. Vogelstein,
"Signal Subgraph Estimation Via Vertex Screening," submitted, 2018.
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Minh Tang, Joshua Cape,
Carey E. Priebe,
"Asymptotically efficient estimators for stochastic blockmodels: the naive MLE, the rank-constrained MLE, and the spectral," submitted, 2017.
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Runze Tang, Minh Tang, Joshua T. Vogelstein, Carey E. Priebe, "Robust Estimation from Multiple Graphs under Gross Error Contamination," submitted, 2017.