Publications on DARPA XDATA:

Journals


  1. Keith Levin, Vince Lyzinski, "Laplacian Eigenmaps from Sparse, Noisy Similarity Measurements," IEEE Trans. Signal Processing, vol 65, no 8, pp 1988-2003, 2017.


  2. Vince Lyzinski, Youngser Park, Carey E. Priebe, Michael W. Trosset, "Fast Embedding for JOFC Using the Raw Stress Criterion," Journal of Computational and Graphical Statistics, accepted for publication, 2016.


  3. Vince Lyzinski, Minh Tang, Avanti Athreya, Youngser Park, Carey E. Priebe, "Community Detection and Classification in Hierarchical Stochastic Blockmodels," IEEE Transactions on Network Science and Engineering, accepted for publication, 2016. publisher site


  4. Yichen Qin, Carey E. Priebe, "Robust Hypothesis Testing via Lq-Likelihood," Statistica Sinica, accepted for publication, 2016.


  5. Minh Tang, Avanti Athreya, Daniel L. Sussman, Vince Lyzinski, Carey E. Priebe, "A Semiparametric Two-sample Hypothesis Testing for Random Dot Product Graphs," Journal of Computational and Graphical Statistics, accepted for publication, 2016.


  6. Li Chen, Joshua T. Vogelstein, Vince Lyzinski, Carey E. Priebe, "A Joint Graph Inference Case Study: the C.elegans Chemical and Electrical Connectomes," Worm, vol. 5, no. 2, pp 1, doi: 10.1080/21624054.2016.1142041, 2016, publisher site.

  7. Sancar Adali, Carey E. Priebe, "Fidelity-Commensurability Tradeoff in Joint Embedding of Disparate Dissimilarities," Journal of Classification, vol. 33, no. 3, pp. 485-506, doi:10.1007/s00357-016-9214-6, October, 2016.


  8. 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, vol. 23, no. 3, pp 1599-1630, 2017. publisher site


  9. Nam Lee, Runze Tang, Carey E. Priebe, Michael Rosen, "A model selection approach for clustering a multinomial sequence with non-negative factorization," IEEE Transactions on Pattern Analysis and Machine Intelligence, doi:10.1109/TPAMI.2016.2522443, vol. 38, no. 12, pp. 2345-2358, January, 2016.


  10. 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, vol 38, no 1, pp 60-73, January, 2016.


  11. Donniell E. Fishkind, Cencheng Shen, Youngser Park, C.E. Priebe, "On the Incommensurability Phenomenon," Journal of Classification, vol. 33, no. 2, pp 185-209, doi:10.1007/s00357-016-9203-9, 2016.


  12. Vince Lyzinski, Daniel L. Sussman, Donniell E. Fishkind, Henry Pao, Li Chen, Joshua T. Vogelstein, Youngser Park, Carey E. Priebe, "Spectral Clustering for Divide-and-Conquer Graph Matching," Parallel Computing, vol. 47, pp. 70-87, 2015.


  13. L. Chen, C. Shen, J.V. Vogelstein, C. E. Priebe, "Robust Vertex Classification," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 38, no 3, pp 578-590, March 2016.

  14. A. Athreya, V. Lyzinski, D.J. Marchette, C.E. Priebe, D.L. Sussman, and M. Tang, "A limit theorem for scaled eigenvectors of random dot product graphs," Sankhya, vol. 78-A, no. 1, pp 1-18, February 2016.


  15. Shakira Suwan, Dominic S. Lee, Runze Tang, Daniel L. Sussman, Minh Tang, Carey E. Priebe, "Empirical Bayes Estimation for the Stochastic Blockmodel," Electronic Journal of Statistics 2016, vol. 10, no. 1, 761-782, 2016. publisher site.


  16. 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.


  17. C.E. Priebe, D.L. Sussman, M. Tang, J.T. Vogelstein, "Statistical inference on errorfully observed graphs," Journal of Computational and Graphical Statistics, vol. 24, no. 4, pp 930-953, 2015.

  18. Vince Lyzinski, Daniel Sussman, Minh Tang, Avanti Athreya, Carey E. Priebe, "Perfect Clustering for Stochastic Blockmodel Graphs via Adjacency Spectral Embedding," Electronic Journal of Statistics, vol. 8, no. 2, pp. 2905-2922, 2014, publisher site


  19. J.T. Vogelstein*, Y. Park*, T. Ohyama*, R. Kerr, J.W. Truman, C.E. Priebe^, M. Zlatic^, "Discovery of Brainwide Neural-Behavioral Maps via Multiscale Unsupervised Structure Learning," Science, doi:10.1126/science.1250298, 2014. (* co-first, ^ co-corresponding)

  20. C. Shen, M. Sun, M. Tang, and C.E. Priebe, "Generalized Canonical Correlation Analysis for Classification in High Dimensions," Journal of Multivariate Analysis, vol. 130, no. year2014, pp. 310-322, 2014.

  21. V. Lyzinski, D.E. Fishkind, and C.E. Priebe, "Seeded graph matching for correlated Erdos-Renyi graphs," Journal of Machine Learning Research, vol. 15, no. Nov, pp. 3513−3540, 2014.


  22. D. L. Sussman, M. Tang, C.E. Priebe, "Consistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 36, No 1, pp 48-57, January 2014. publisher site

  23. H. Wang, M. Tang, Y. Park, and C. 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.

  24. M. Tang, D. L. Sussman, and C.E. Priebe, "Universally consistent vertex classification for latent positions graphs," Annals of Statistics, Vol. 41, No. 3, pp 1406–1430, 2013.

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. Heng Wang, Da Zheng, Randal Burns, Carey E. Priebe, "Active Community Detection in Massive Graphs," SDM-Networks 2015: The Second SDM Workshop on Mining Networks and Graphs: A Big Data Analytic Challenge, April 30 - May 02, 2015, Vancouver, BC, Canada

  3. M. Sun, M. Tang, C.E. Priebe, A Comparison of Graph Embedding Methods for Vertex Nomination , 2012 11th Internaltional Conference on Machine Learning and Applications (ICMLA), Boca Raton, FL, 2012.

Submitted


  1. Vince Lyzinski, "Information recovery in shuffled graphs via graph matching," submitted, 2016.


  2. Avanti Athreya, Minh Tang, Vince Lyzinski, Youngser Park, Bryan Lewis, Michael Kane, Carey E. Priebe, "Numerical tolerance for spectral decompositions of random dot product graphs," submitted, 2016.


  3. Minh Tang, Carey E. Priebe, "Limit theorems for eigenvectors of the normalized Laplacian for random graphs," submitted, 2016.


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


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


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


  7. Nam Lee, Carey E. Priebe, Youngser Park, I-Jeng Wang, Michael Rosen, "Techniques for clustering interaction data as a collection of graphs," submitted, 2014.


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


  9. M. Tang, Y. Park, and C. E. Priebe, "Out-of-sample Extension for Latent Position Graphs," submitted, 2013.

  10. Nam H. Lee, Carey E. Priebe, Runze Tang, Michael Rosen, "Selecting a non-negative factorization model for statistical inference on time series of graphs," submitted, 2013.

  11. V. Lyzinski, D.L. Sussman, D.E. Fishkind, H. Pao, C.E. Priebe, "Seeded graph matching for large stochastic block model graphs," submitted, 2013.

  12. D.E. Fishkind, S. Adali, C.E. Priebe, "Seeded Graph Matching," submitted, 2012.

  13. G.A. Coppersmith, C.E. Priebe, "Vertex Nomination via Content and Context," submitted, 2012.


Last Modified: