Publications on JHU HLTCOE

Journals


  1. Li Chen, Joshua T. Vogelstein, Vince Lyzinski, Carey E. Priebe, "A Joint Graph Inference Case Study: the C.elegans Chemical and Electrical Connectomes," Worm, accepted for publication, 2016.


  2. Minh Tang, Avanti Athreya, Daniel L. Sussman, Vince Lyzinski, Carey E. Priebe, "A Nonparametric Two-sample Hypothesis Testing for Random Dot Product Graphs," Bernoulli Journal, accepted for publication, 2015.


  3. L. Chen, C. Shen, J.V. Vogelstein, C. E. Priebe, "Robust Vertex Classification," IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted for publication, 2015.


  4. V. Lyzinski, D. Fishkind, M. Fiori, J. T. Vogelstein, C. E. Priebe, G. Sapiro, "Graph Matching: Relax at Your Own Risk," IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted for publication, 2015.


  5. Donniell E. Fishkind, Cencheng Shen, Youngser Park, C.E. Priebe, "On the Incommensurability Phenomenon," Journal of Classification, accepted for publication, 2015.


  6. C.E. Priebe, Daniel L. Sussman, Minh Tang, Joshua T. Vogelstein, "Statistical inference on errorfully observed graphs," Journal of Computational and Graphical Statistics, accepted for publication, 2014.


  7. Cencheng Shen, Ming Sun, Minh Tang, and Carey E. Priebe, "Generalized Canonical Correlation Analysis for Classification," Journal of Multivariate Analysis, vol. 130, no. year2014, pp. 310-322, 2014.


  8. Vince Lyzinski, Donniell E. Fishkind, and Carey E. Priebe, "Seeded graph matching for correlated Erdos-Renyi graphs," Journal of Machine Learning Research, accepted for publication, 2014.


  9. D. E. Fishkind, V. Lyzinski, H. Pao, L. Chen, C. E. Priebe, "Vertex Nomination Schemes for Membership Prediction," Annals of Applied Statistics, vol. 9, no. 3, pp. 1510-1532, 2015.


  10. Heng Wang, Minh Tang, Youngser Park, and Carey E. Priebe, "Locality statistics for anomaly detection in time series of graphs," IEEE Transactions on Signal Processing, Vol 62, No 3, pp 703-717, February, 2014.


  11. N.H. Lee, M. Tang, J. Yoder, C.E. Priebe, "On latent position inference from doubly stochastic messaging activities," Multiscale Modeling & Simulation, Vol. 11, No. 3, pp 683-718, 2013 publisher site.


  12. Y. Qin and C.E. Priebe, "Maximum Lq-Likelihood Estimation via the Expectation Maximization Algorithm: A Robust Estimation of Mixture Models," Journal of the American Statistical Association, Vol. 108, No. 503, pp 914-928, 2013.


  13. D.E. Fishkind, D.L. Sussman, M. Tang, J.T. Vogelstein, and C.E. Priebe, "Consistent adjacency-spectral partitioning for the stochastic block model when the model parameters are unknown ," SIAM Journal on Matrix Analysis and Applications, Vol. 34, No. 1, pp. 23-39, 2013. publisher site


  14. C.E. Priebe, D.J. Marchette, Z. Ma, S. Adali, "Manifold Matching: Joint Optimization of Fidelity and Commensurability," Brazilian Journal of Probability and Statistics, Vol. 27, No. 3, pp. 377–400, May, 2013.


  15. C.E. Priebe, J.L. Solka, D.J. Marchette, A.C. Bryant, "Quantitative Horizon Scanning for Mitigating Technological Surprise: Detecting the potential for collaboration at the interface," Statistical Analysis and Data Mining, Vol. 5, No. 3, pp. 178-186, 2012.


  16. Z. Ma, D.J. Marchette, C.E. Priebe, "Fusion and Inference from Multiple Data Sources in Commensurate Space," Statistical Analysis and Data Mining, Vol. 5, No. 3, pp. 187-193, 2012.


Conferences

  1. Youngser Park, Heng Wang, Tobias Nöbauer, Alipasha Vaziri, Carey E. Priebe, "Anomaly Detection on Whole-Brain Functional Imaging of Neuronal Activity using Graph Scan Statistics," 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2015), Workshop on Outlier Definition, Detection, and Description (ODDx3), August 10, Sydney, Australia.


  2. C.E. Priebe, Y. Park, Inference in Time Series of Graphs using Locality Statistics , IEEE Global Conference on Signal and Information Processing, Austin, Texas, Dec 3-5, 2013. poster.


  3. N.H. Lee, C.E. Priebe, M. Tang, An implied latent position process for doubly stochastic messaging activities, Annual International Conference on Computational Mathematics, Computational Geometry & Statistics (CMCGS 2012). January, 30-31, Singapore, 2012.


  4. C.E. Priebe, N.H. Lee, Y. Park, M. Tang, Attribute Fusion in a Latent Process Model for Time Series of Graphs, IEEE International Workshop on Statistical Signal Processing 2011 (SSP'11), pp 513-516, Nice, France, June 28-30, 2011.


Submitted


  1. Cencheng Shen, Li Chen, Carey E. Priebe, "Sparse Representation Classification Beyond L1 Minimization and the Subspace Assumption," submitted, 2015.


  2. Jordan Yoder, Carey E. Priebe, "A Model-based Semi-Supervised Clustering Methodology," submitted, 2015.


  3. Cencheng Shen, Carey E. Priebe, "Manifold Matching using Shortest-Path Distance and Joint Neighborhood Selection," submitted, 2015.


  4. Minh Tang, Avanti Athreya, Daniel L. Sussman, Vince Lyzinski, Carey E. Priebe, "A Nonparametric Two-sample Hypothesis Testing for Random Dot Product Graphs," submitted, 2014.


  5. Minh Tang, Avanti Athreya, Daniel L. Sussman, Vince Lyzinski, Carey E. Priebe, "A Semiparametric Two-sample Hypothesis Testing for Random Dot Product Graphs," submitted, 2014.


  6. Vince Lyzinski, Sancar Adali, Joshua T. Vogelstein, Youngser Park, Carey E. Priebe, "Seeded Graph Matching Via Joint Optimization of Fidelity and Commensurability," submitted, 2014.


  7. Sancar Adali, Carey E. Priebe, "Fidelity-Commensurability Tradeoff in Joint Embedding of Disparate Dissimilarities," submitted, 2013.


  8. Vince Lyzinski, Daniel L. Sussman, Donniell E. Fishkind, Henry Pao, Carey E. Priebe, "Seeded graph matching for large stochastic block model graphs," submitted, 2013.


  9. Minh Tang, Youngser Park, and Carey E. Priebe, "Out-of-sample Extension for Latent Position Graphs," submitted, 2013.


  10. Donniell E. Fishkind, Sancar Adali, C.E. Priebe, "Seeded Graph Matching," submitted, 2012.
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