Rui Castro
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Network tomography: Recent developments
R Castro, M Coates, G Liang, R Nowak, B Yu
Maximum likelihood network topology identification from edge-based unicast measurements
M Coates, R Castro, R Nowak, M Gadhiok, R King, Y Tsang
ACM SIGMETRICS Performance Evaluation Review 30 (1), 11-20, 2002
Minimax bounds for active learning
RM Castro, RD Nowak
IEEE Transactions on Information Theory 54 (5), 2339-2353, 2008
Faster rates in regression via active learning
R Willett, R Nowak, R Castro
Advances in Neural Information Processing Systems 18, 2005
Distilled sensing: Adaptive sampling for sparse detection and estimation
J Haupt, RM Castro, R Nowak
IEEE Transactions on Information Theory 57 (9), 6222-6235, 2011
Compressive sampling for signal classification
J Haupt, R Castro, R Nowak, G Fudge, A Yeh
2006 Fortieth Asilomar Conference on Signals, Systems and Computers, 1430-1434, 2006
Likelihood based hierarchical clustering
RM Castro, MJ Coates, RD Nowak
IEEE Transactions on signal processing 52 (8), 2308-2321, 2004
Joint optimization and variable selection of high-dimensional Gaussian processes
B Chen, R Castro, A Krause
arXiv preprint arXiv:1206.6396, 2012
Human active learning
R Castro, C Kalish, R Nowak, R Qian, T Rogers, J Zhu
Advances in neural information processing systems 21, 2008
Compressive distilled sensing: Sparse recovery using adaptivity in compressive measurements
JD Haupt, RG Baraniuk, RM Castro, RD Nowak
2009 Conference Record of the Forty-Third Asilomar Conference on Signals …, 2009
Adaptive sensing for sparse signal recovery
J Haupt, R Nowak, R Castro
2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal …, 2009
Sequentially designed compressed sensing
J Haupt, R Baraniuk, R Castro, R Nowak
2012 IEEE Statistical Signal Processing Workshop (SSP), 401-404, 2012
Active learning and sampling
R Castro, R Nowak
Foundations and Applications of Sensor Management, 177-200, 2008
Minimax bounds for active learning
RM Castro, RD Nowak
International Conference on Computational Learning Theory, 5-19, 2007
Finding needles in noisy haystacks
RM Castro, J Haupt, R Nowak, GM Raz
2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008
Distilled sensing: Selective sampling for sparse signal recovery
J Haupt, R Castro, R Nowak
Artificial Intelligence and Statistics, 216-223, 2009
Adaptive sensing performance lower bounds for sparse signal detection and support estimation
RM Castro
Upper and lower error bounds for active learning
RM Castro, RD Nowak
The 44th Annual Allerton Conference on Communication, Control and Computing …, 2006
Distribution-free detection of structured anomalies: Permutation and rank-based scans
E Arias-Castro, RM Castro, E Tánczos, M Wang
Journal of the American Statistical Association 113 (522), 789-801, 2018
Efficient decentralized approximation via selective gossip
D Ustebay, R Castro, M Rabbat
IEEE Journal of Selected Topics in Signal Processing 5 (4), 805-816, 2011
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