CONFERENCE PAPERS

Benjamin A. Miller, Nicholas Arcolano, and Nadya T. Bliss. Efficient anomaly detection in dynamic, attributed graphs, Proceedings of the IEEE Intelligence and Security Informatics Conference, 2013. pre-print

Nicholas Arcolano, Karl Ni, Benjamin A. Miller, Nadya T. Bliss, and Patrick J. Wolfe, Moments of parameters estimates for Chung-Lu random graph models, Proceedings of the IEEE Conference on Acoustics, Speech, and Signal Processing, 2012. IEEE Xplorepre-print

Benjamin A. Miller, Nicholas Arcolano, Michelle S. Beard, Jeremy Kepner, Matthew C. Schmidt, Nadya T. Bliss, and Patrick J. Wolfe, A scalable signal processing architecture for massive graph analysis, Proceedings of the IEEE Conference on Acoustics, Speech, and Signal Processing, 2012. IEEE Xplorepre-print

Nicholas Arcolano and Patrick J. Wolfe, Estimating principal components of large covariance matrices using the Nyström method, Proceedings of the IEEE Conference on Acoustics, Speech, and Signal Processing, 2011. IEEE Xplorepre-print

Nicholas Arcolano and Patrick J. Wolfe, Nyström approximation of Wishart matrices, Proceedings of the IEEE Conference on Acoustics, Speech, and Signal Processing, 2010. IEEE Xplorepre-print


TALKS AND SEMINARS

Nicholas Arcolano and Benjamin A. Miller, Statistical models and methods for anomaly detection in large graphs, 2012 SIAM Annual Meeting, July 9–13, 2012. slideslecture audio


DISSERTATION

Nicholas Arcolano, Approximation of positive semidefinite matrices using the Nyström method, Ph.D. thesis, Harvard University, 2011. PDF


OTHER PUBLICATIONS

Nicholas Arcolano and Patrick J. Wolfe, Estimating principal components of covariance matrices using the Nyström method, 2011. download