| Network tomography: Recent developments R Castro, M Coates, G Liang, R Nowak, B Yu | 645 | 2004 |
| 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 | 333 | 2002 |
| Minimax bounds for active learning RM Castro, RD Nowak IEEE Transactions on Information Theory 54 (5), 2339-2353, 2008 | 213 | 2008 |
| Faster rates in regression via active learning R Willett, R Nowak, R Castro Advances in Neural Information Processing Systems 18, 2005 | 193 | 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 | 179 | 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 | 152 | 2006 |
| Likelihood based hierarchical clustering RM Castro, MJ Coates, RD Nowak IEEE Transactions on signal processing 52 (8), 2308-2321, 2004 | 144 | 2004 |
| Human active learning R Castro, C Kalish, R Nowak, R Qian, T Rogers, J Zhu Advances in neural information processing systems 21, 2008 | 103 | 2008 |
| Joint optimization and variable selection of high-dimensional Gaussian processes B Chen, R Castro, A Krause arXiv preprint arXiv:1206.6396, 2012 | 102 | 2012 |
| 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 | 95 | 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 | 84 | 2009 |
| Sequentially designed compressed sensing J Haupt, R Baraniuk, R Castro, R Nowak 2012 IEEE Statistical Signal Processing Workshop (SSP), 401-404, 2012 | 80 | 2012 |
| Minimax bounds for active learning RM Castro, RD Nowak International Conference on Computational Learning Theory, 5-19, 2007 | 64 | 2007 |
| Active learning and sampling R Castro, R Nowak Foundations and Applications of Sensor Management, 177-200, 2008 | 61 | 2008 |
| Finding needles in noisy haystacks RM Castro, J Haupt, R Nowak, GM Raz 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 59 | 2008 |
| Distilled sensing: Selective sampling for sparse signal recovery J Haupt, R Castro, R Nowak Artificial Intelligence and Statistics, 216-223, 2009 | 57 | 2009 |
| Adaptive sensing performance lower bounds for sparse signal detection and support estimation RM Castro | 56* | 2014 |
| Upper and lower error bounds for active learning RM Castro, RD Nowak The 44th Annual Allerton Conference on Communication, Control and Computing …, 2006 | 46 | 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 | 41 | 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 | 39 | 2011 |
Robert D NowakKeith and Jane Morgan Nosbusch Professor in ECE, Grace Wahba Professor of Data Science在 wisc.edu 的电子邮件经过验证
