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ORCIDRui M. Castro
Person information
- affiliation: Eindhoven University of Technology, Department of Mathematics
- affiliation: Columbia University, Department of Electrical Engineering
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Journal Articles
- 2021
[j9]Shubham Gupta
, Gururaj K, Ambedkar Dukkipati, Rui M. Castro:
Equipping SBMs with RBMs: an interpretable approach for analysis of networks with covariates. J. Complex Networks 10(2) (2021)- 2017
- [j8]Rui M. Castro, Ervin Tanczos:
Adaptive Compressed Sensing for Support Recovery of Structured Sparse Sets. IEEE Trans. Inf. Theory 63(3): 1535-1554 (2017) - 2015
- [j7]Rui M. Castro, Ervin Tanczos:
Adaptive Sensing for Estimation of Structured Sparse Signals. IEEE Trans. Inf. Theory 61(4): 2060-2080 (2015) - 2014
- [j6]Rui M. Castro, Gábor Lugosi, Pierre-André Savalle:
Detection of Correlations With Adaptive Sensing. IEEE Trans. Inf. Theory 60(12): 7913-7927 (2014) - 2012
- [j5]Ali Tajer, Rui M. Castro, Xiaodong Wang:
Adaptive Sensing of Congested Spectrum Bands. IEEE Trans. Inf. Theory 58(9): 6110-6125 (2012) - 2011
- [j4]Deniz Üstebay, Rui M. Castro, Michael G. Rabbat:
Efficient Decentralized Approximation via Selective Gossip. IEEE J. Sel. Top. Signal Process. 5(4): 805-816 (2011) - [j3]Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak:
Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation. IEEE Trans. Inf. Theory 57(9): 6222-6235 (2011) - 2008
- [j2]Rui M. Castro, Robert D. Nowak:
Minimax Bounds for Active Learning. IEEE Trans. Inf. Theory 54(5): 2339-2353 (2008) - 2004
- [j1]Rui M. Castro, Mark Coates, Robert D. Nowak:
Likelihood based hierarchical clustering. IEEE Trans. Signal Process. 52(8): 2308-2321 (2004)
Conference and Workshop Papers
- 2023
- [c17]Rui M. Castro, Fredrik Hellström, Tim van Erven:
Adaptive Selective Sampling for Online Prediction with Experts. NeurIPS 2023 - 2021
- [c16]Tony Gracious, Shubham Gupta, Arun Kanthali, Rui M. Castro, Ambedkar Dukkipati:
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs. AAAI 2021: 4054-4062 - 2012
- [c15]Bo Chen, Rui M. Castro, Andreas Krause:
Joint Optimization and Variable Selection of High-dimensional Gaussian Processes. ICML 2012 - [c14]Jarvis D. Haupt, Richard G. Baraniuk, Rui M. Castro, Robert D. Nowak:
Sequentially designed compressed sensing. SSP 2012: 401-404 - 2010
- [c13]Ali Tajer, Rui M. Castro, Xiaodong Wang:
Adaptive spectrum sensing for agile cognitive radios. ICASSP 2010: 2966-2969 - [c12]Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak:
Improved bounds for sparse recovery from adaptive measurements. ISIT 2010: 1563-1567 - 2009
- [c11]Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak:
Distilled sensing: selective sampling for sparse signal recovery. AISTATS 2009: 216-223 - 2008
- [c10]Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak:
Adaptive discovery of sparse signals in noise. ACSCC 2008: 1727-1731 - [c9]Rui M. Castro, Jarvis D. Haupt, Robert D. Nowak, Gil M. Raz:
Finding needles in noisy haystacks. ICASSP 2008: 5133-5136 - [c8]Rui M. Castro, Charles Kalish, Robert D. Nowak, Ruichen Qian, Timothy T. Rogers, Xiaojin Zhu:
Human Active Learning. NIPS 2008: 241-248 - 2007
- [c7]Rui M. Castro, Robert D. Nowak:
Minimax Bounds for Active Learning. COLT 2007: 5-19 - 2006
- [c6]Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak:
Compressed sensing in noisy imaging environments. Computational Imaging 2006: 606507 - [c5]Rui M. Castro, Jarvis D. Haupt, Robert D. Nowak:
Compressed Sensing Vs. Active Learning. ICASSP (3) 2006: 820-823 - 2005
- [c4]Rui M. Castro, Rebecca Willett, Robert D. Nowak:
Faster Rates in Regression via Active Learning. NIPS 2005: 179-186 - 2004
- [c3]Rui M. Castro, Rebecca Willett, Robert D. Nowak:
Coarse-to-fine manifold learning [image processing example]. ICASSP (3) 2004: 992-995 - 2003
- [c2]Rui M. Castro, Robert D. Nowak:
Likelihood Based Hierarchical Clustering and Network Topology Identification. EMMCVPR 2003: 113-129 - 2002
- [c1]Mark Coates, Rui M. Castro, Robert D. Nowak, Manik Gadhiok, Ryan King, Yolanda Tsang:
Maximum likelihood network topology identification from edge-based unicast measurements. SIGMETRICS 2002: 11-20
Informal and Other Publications
- 2023
- [i5]Rui M. Castro, Fredrik Hellström, Tim van Erven:
Adaptive Selective Sampling for Online Prediction with Experts. CoRR abs/2302.08397 (2023) - 2019
- [i4]Shubham Gupta, Ambedkar Dukkipati, Rui M. Castro:
Restricted Boltzmann Stochastic Block Model: A Generative Model for Networks with Attributes. CoRR abs/1911.04172 (2019) - [i3]Shubham Gupta, Rui M. Castro, Ambedkar Dukkipati:
A Statistical Model for Dynamic Networks with Neural Variational Inference. CoRR abs/1911.11455 (2019) - 2012
- [i2]Ali Tajer, Rui M. Castro, Xiaodong Wang:
Adaptive Sensing of Congested Spectrum Bands. CoRR abs/1206.1438 (2012) - 2010
- [i1]Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak:
Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation. CoRR abs/1001.5311 (2010)
Coauthor Index
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