Publications

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Journal papers

    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

    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

    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. Leitão, "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

    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)

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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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This page was last updated on Mar. 25th, 2009
Copyright © 2009 - Rui Castro