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Preprints

Alexander Mey and Rui M. Castro "Invariant Causal Prediction with Locally Linear Models", submitted [.pdf ]

Ivo Stoepker, Rui M. Castro, Ery Arias-Castro "Sparse Anomaly Detection Across Referentials: A Rank-Based Higher Criticism Approach", submitted [.pdf ]

Gianmarco Bet, Kay Bogerd, Rui M. Castro, Remco van der Hofstad, "Detecting a late changepoint in the preferential attachment model", submitted [.pdf ]

Rui M. Castro, Fredrik Hellstrom, Tim van Erven "Adaptive Selective Sampling for Online Prediction with Experts", to appear in NeuRIPS 2023 [.pdf ]

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Journal papers

Ivo Stoepker, Rui Castro, Ery Arias-Castro and Edwin van den Heuvel "Anomaly Detection in Stationary Settings: A Permutation-Based Higher Criticism Approach", in JASA [.pdf ]

Gianmarco Bet, Kay Bogerd, Rui Castro and Remco van der Hofstad "Detecting a botnet in a network", in Mathematical Statistics and Learning [.pdf ]

Shubham Gupta, Gururaj K, Ambedkar Dukkipati, Rui M. Castro "Equipping SBMs with RBMs: An Explainable Approach for Analysis of Networks with Covariates", In Journal of Complex Networks [.pdf ] (arXiv version [.pdf ])

Kay Bogerd, Rui Castro, Remco van der Hofstad and Nicolas Verzelen "Community detection in inhomogeneous random graphs", in Bernoulli [.pdf ]

Kay Bogerd, Rui Castro and Remco van der Hofstad, "Cliques in rank-1 random graphs: the role of inhomogeneity", in Bernoulli [.pdf ]

Fengnan Gao, Aad van der Vaart, Rui Castro and Remco van der Hofstad, "Consistent Estimation in General Sublinear Preferential Attachment Trees", in Electronic Journal of Statistics, Vol. 11, pp. 3979--3999, 2017. [.pdf ]

Rui Castro and Ervin Tánczos, "Are there needles in a moving haystack? Adaptive sensing for detection of dynamically evolving signals", in Bernoulli [.pdf ]

Ery Arias-Castro, Rui M. Castro, Ervin Tánczos, Meng Wang, "Distribution-Free Detection of Structured Anomalies: Permutation and Rank-Based Scans", in JASA. [.pdf ]

Rui Castro and Ervin Tánczos, "Adaptive Compressed Sensing for Estimation of Structured Sparse Sets", in IEEE Transactions on Information Theory, vol. 63, no. 3, pp. 1535-1554, 2017. [.pdf ]

Rui Castro and Ervin Tánczos, "Adaptive Sensing for Estimation of Structured Sparse Signals", in IEEE Transactions on Information Theory, vol. 61, no. 4, pp. 2060-2080, 2015. [.pdf ]

Rui M. Castro, Gábor Lugosi and Pierre-Andre Savalle, "Detection of Correlations with Adaptive Sensing", in IEEE Transactions on Information Theory, vol. 60, no. 12, pp. 7913-7927, 2014. [.pdf ]

R. Castro, "Adaptive Sensing Performance Lower Bounds for Sparse Estimation and Testing", in Bernoulli. [.pdf ]

A. Tajer, R. Castro and X. Wang, "Adaptive Sensing of Congested Spectrum Bands", IEEE Transactions on Information Theory, vol. 58, no. 9, pp. 6110-6125, September 2012. [.pdf ]

Abdallah G. Motaal, Bram F. Coolen, Desiree Abdurrachim, Rui M. Castro, Jeanine J. Prompers, Luc M. J. Florack, Klaas Nicolay and Gustav J. Strijkers, "Accelerated high-frame-rate mouse heart cine-MRI using compressed sensing reconstruction", NMR in Biomedicine, vol. 26, issue 4, pp. 451-457, April 2013. [.pdf ]

D. Üstebay, R. Castro and M. Rabbat, "Efficient Decentralized Approximation via Selective Gossip", IEEE Journal of Selected Topics in Signal Processing, vol. 5, no. 4, pp. 805-816, August 2011. [.pdf ]

J. Haupt, R. Castro and R. Nowak, "Distilled Sensing: Adaptive Sensing for Sparse Detection and Estimation", IEEE Transactions on Information Theory, vol. 57, no. 9, pp. 6222-6235, September 2011. [.pdf ]

R. Castro and R. Nowak, "Minimax Bounds for Active Learning", IEEE Transactions on Information Theory, vol. 54, no. 5, pp. 2339-2353, July 2008. [.pdf ]

R. Castro, M. Coates and R. Nowak, "Likelihood Based Hierarchical Clustering", IEEE Transactions in Signal Processing, vol. 52, no. 8, pp. 2308-2321, August 2004. [.pdf ]

R. Castro, M. Coates, G. Liang, R. Nowak and B. Yu, "Network Tomography: Recent Developments", Statistical Science, vol. 19, no. 3, pp. 499-517, August 2004. [.pdf ]

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Chapters in books

D. Üstebay, R. Castro, Mark Coates and M. Rabbat, "Distributed Approximation and Tracking using Selective Gossip", in Compressed Sensing & Sparse Filtering,, Lyudmila Mihaylova, Avishy Carmi, and Simon Godsill (Eds.), Springer-Verlag 2013, ISBN 978-3-642-38398-4. [.pdf]

R. Castro and R. Nowak, "Active Learning and Sampling", in Foundations and Applications of Sensor Management, A. Hero, D. Castanon, D. Cochran, and K. Kastella (Eds.), pp. 177-200, Springer-Verlag, 2007. [.pdf]

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Conference papers

Tony Gracious, Shubham Gupta, Arun Kanthali, Rui M. Castro, Ambedkar Dukkipati "A Statistical Model for Dynamic Networks with Neural Variational Inference", in AAAI 2021 [.pdf ] (long version [.pdf ])

R. Castro, "On the Performance of Adaptive Sensing for Sparse Signal Inference", in 10th International Conference on Sampling Theory and Applications (SampTA), Bremen, Germany, July 2013. [.pdf]

Haupt, J., Baraniuk, R., Castro, R., Nowak, R., "Sequentially Designed Compressed Sensing", in IEEE Statistical Signal Processing Workshop (IEEE SSP), Ann Arbor, Michigan, August 2012. [.pdf]

Chen, B., Castro, R., Krause, A., "Joint Optimization and Variable Selection of High-dimensional Gaussian Processes", in Proc. International Conference on Machine Learning (ICML), Edinburgh, Scotland, June 2012. [.pdf] (long version [.pdf])

Mohamed, A.G.A., Coolen, B.F., Abdurrachim, D., Castro, R.M., Florack, L.M.J., Prompers, J.J., Nicolay, K., Strijkers, G.J., "Accelerated high frame rate mouse CINE CMR using retrospective triggering and compressed sensing reconstruction", in the 20th ISMRM Annual Meeting and Exhibition (ISMRM 2012) Melbourne, Australia, May 2012.

Berg, J.B. van den, Castro, R.M., Draisma, J., Evers, J.H.M., Hendriks, M., Khimshiashvili, G., Krehel, O., Kryven, I., Mora, K., Szabo, B.T., Zwiernik, P.W., "Non-imaging optics for LED-lighting", in Proceedings of the 84th European Study Group Mathematics with Industry, Eindhoven, The Netherlands, February 2012.

J. Haupt, R. Castro and R. Nowak, "Improved Bounds for Sparse Recovery from Adaptive Measurements", in Proceedings of International Symposium on Information Theory (ISIT), Austin, Texas, USA, June 2010. [.pdf]

A. Tajer, R. Castro, X. Wang, "Adaptive Spectrum Sensing for Agile Cognitive Radios", in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dallas, Texas, March 2010. [.pdf]

D. Üstebay, R. Castro, and M. Rabbat, "Selective Gossip", in Proc. IEEE Computational Advances in Multi-Sensor Adaptive Processing Aruba, Dutch Antilles, December 2009. [.pdf]

J. Haupt, R. Baraniuk, R. Castro, and R. Nowak, "Compressive Distilled Sensing", in 43th Asilomar Conference on Signal, Systems and Computers, Pacific Grove, California, October 2009. [.pdf]

J. Haupt, R. Castro, and R. Nowak, "Distilled sensing: selective sampling for sparse signal recovery", in Proc. 12th Conference on Artificial Intelligence and Statistics, Clearwater Beach, Florida, April 2009. [.pdf]

J. Haupt, R. Castro, and R. Nowak, "Adaptive sensing for sparse signal recovery", in Proc. IEEE Digital Signal Processing Workshop and Workshop on Signal Processing Education, Marco Island, Florida, 2009, January 2009. [.pdf]

R. Castro, C. Kalish, R. Nowak, R. Qian, T. Rogers and X. Zhu, "Human Active Learning", in Advances in Neural Information Processing Systems (NIPS) 2008, Vancouver, Canada, December 2008. [.pdf]

J. Haupt, R. Castro and R. Nowak, "Adaptive Discovery of Sparse Signals in Noise", in 42th Asilomar Conference on Signal, Systems and Computers, Pacific Grove, California, October 2008. [.pdf]

R. Castro, J. Haupt, R. Nowak and G. Raz, "Finding Needles in Noisy Haystacks", in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Las Vegas, Nevada, March-April 2008. [.pdf]

R. Castro and R. Nowak, "Minimax Bounds for Active Learning", in in Proceedings of the 20th Annual Conference on Learning Theory - COLT 2007, San Diego, California, June 2007. [.pdf](Please read the following errata)

J. Haupt, R. Castro and R. Nowak, "Compressive Sampling for Signal Classification", in 40th Asilomar Conference on Signal, Systems and Computers, Pacific Grove, California, October 2006. [.pdf]

R. Castro and R. Nowak, "Upper and Lower Bounds for Active Learning", in Proceedings of the 44th Annual Allerton Conference on Communication, Control and Computing, Allerton House, University of Illinois, September 2006. [.pdf]

R. Castro, J. Haupt and R. Nowak, "Compressed Sensing vs. Active Learning", in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toulouse, France, May 2006. [.pdf]

R. Castro, R. Willett and R. Nowak, "Faster Rates in Regression Via Active Learning", in Proceedings of the Neural Information Processing Systems Conference (NIPS) 2005, Vancouver, Canada, December 2005. [.pdf]
(this is a shorter version of UW technical report ECE-05-3

R. Castro, R. Willett and R. Nowak, "Coarse-to-Fine Manifold Learning", in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Montreal, Canada, May 2004. [.pdf]

R. Castro and R. Nowak, "Likelihood Based Hierarchical Clustering and Network Topology Identification", in Fourth International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2003), Lisboa, Portugal, July 2003. (available in Lecture Notes in Computer Science 2683, Springer 2003)

R. Castro, M. Wakin and M. Orchard, "On The Problem of Simultaneous Encoding of Magnitude and Location Information", in 36th Asilomar Conference on Signal, Systems and Computers, Pacific Grove, California, November 2002. [.pdf]

M. Coates, R. Castro, R. Nowak and Y. Tsang, "Maximum Likelihood Network Topology Identification from Edge-Based Unicast Measurements" in Proceedings of ACM Sigmetrics, Marina del Rey, California, June 2002. [.pdf]

R. Castro, M. Coates and R. Nowak, "Maximum Likelihood Identification of Network Topology from End-to-end Measurements", in DIMACS Workshop on Internet Measurement, Mapping and Modeling, DIMACS Center, Rutgers University, Piscataway, New Jersey, February 2002.

R. M. Castro, and J. M. Leitao, "Phase Estimation in Mobile Communications and Navigation", in Second Conference in Telecommunications - ConfTele '99, Sesimbra, Portugal, April 1999.

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Talks and Tutorials (no longer updated)

R. Castro, J. Haupt and R. Nowak, "Distilled sensing: Active Sensing for Sparse Recovery", in Sparsity in Machine Learning and Statistics Workshop, Cumberland Lodge, London, U.K., April 2009. (lecture video here)

R. Castro, "Active Learning: Minimax Error Rates and Practical Algorithms (Tentative Title)", Colloquium on Multimodality and Related Topics, Paris, France, March 2008. (invited talk)

R. Castro, "A Minimax Characterization of Active Learning", MITACS Seminar series, McGill University, Montreal, Canada}, November 2007. (invited talk)

R. Castro, "Active Learning, and the Importance of Feedback in Sampling", Instituto Superior Tecnico (IST), Lisboa, Portugal, May 2006. (invited talk)

R. Castro, J. Haupt and R. Nowak, "Compressed Sensing and Adaptive Sampling", NIPS Workshop on Value of Information in Inference, Learning and Decision-Making, Vancouver, Canada, December 2005.

R. Castro, M. Coates and R. Nowak, "Hierarchical Clustering and Network Topology Identification", ISMA 2004 Workshop on Internet Signal Processing (WISP), University of California, San Diego Supercomputing Center, La Jolla, November 2004. (invited talk)

R. Castro, M. Coates and R. Nowak, "Hierarchical Clustering and Network Topology Identification", Interface 2004: Computational Biology and Bioinformatics, 36th Symposium on the Interface, Baltimore, Maryland, May 2004. (invited talk)

R. Castro, "Tutorial - Network Tomography and Topology Identification", Workshop on Internet Tomography, Statistical and Applied Mathematical Sciences Institute (SAMSI), Research Triangle Park, North Carolina, October 2003.

R. Castro, M. Coates and R. Nowak, "Network Tomography Using the EM Algorithm", Bulleting of the International Statistical Institute (ISI), 54th Session, Berlin, Germany, August 2003. (invited talk)

R. Castro, "Stochastic Filtering - A Brief Tutorial". (supporting videos: orange.avi and orange_tracking.avi)

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Technical Reports and Other

R. Castro, "Active Learning and Adaptive Sampling for Non-Parametric Inference", Ph.D. Thesis, Rice University, August 2007. [.pdf] (single-space version here)

R. Castro, Rebecca Willett and Robert Nowak "Faster Rates in Regression Via Active Learning", UW-Madison Technical Report ECE-05-3, University of Wisconsin - Madison, June 2005. [.pdf]

R. Castro, M. Coates and R. Nowak, "Maximum Likelihood Identification of Network Topology from End-to-End Measurements", Technical Report TREE-0109, Rice University, May 2002. [.pdf]

R. Castro, M. Coates, M. Gadhiok, R. King, R. Nowak, E. Rombocas and Y. Tsang, "Maximum Likelihood Network Topology Identification from Edge-based Unicast Measurements", Technical Report TREE-0107, Rice University, November 2001. [.pdf]

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Copyright © 2009 - Rui Castro