Rui M. Castro

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 8

Top Topics

Dynamic Networks

Top Venues

IEEE Trans. Inf. Theory

J. Complex Networks

Publications

Rui M. Castro, Fredrik Hellström, Tim van Erven
Adaptive Selective Sampling for Online Prediction with Experts. CoRR (2023)
Rui M. Castro, Fredrik Hellström, Tim van Erven
Adaptive Selective Sampling for Online Prediction with Experts. NeurIPS (2023)
Tony Gracious, Shubham Gupta, Arun Kanthali, Rui M. Castro, Ambedkar Dukkipati
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs. AAAI (2021)
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)
Shubham Gupta, Ambedkar Dukkipati, Rui M. Castro
Restricted Boltzmann Stochastic Block Model: A Generative Model for Networks with Attributes. CoRR (2019)
Shubham Gupta, Rui M. Castro, Ambedkar Dukkipati
A Statistical Model for Dynamic Networks with Neural Variational Inference. CoRR (2019)
Rui M. Castro, Ervin Tanczos
Adaptive Compressed Sensing for Support Recovery of Structured Sparse Sets. IEEE Trans. Inf. Theory 63 (3) (2017)
Rui M. Castro, Ervin Tanczos
Adaptive Sensing for Estimation of Structured Sparse Signals. IEEE Trans. Inf. Theory 61 (4) (2015)
Rui M. Castro, Gábor Lugosi, Pierre-André Savalle
Detection of Correlations With Adaptive Sensing. IEEE Trans. Inf. Theory 60 (12) (2014)
Bo Chen, Rui M. Castro, Andreas Krause
Joint Optimization and Variable Selection of High-dimensional Gaussian Processes. ICML (2012)
Ali Tajer, Rui M. Castro, Xiaodong Wang
Adaptive Sensing of Congested Spectrum Bands CoRR (2012)
Ali Tajer, Rui M. Castro, Xiaodong Wang
Adaptive Sensing of Congested Spectrum Bands. IEEE Trans. Inf. Theory 58 (9) (2012)
Jarvis D. Haupt, Richard G. Baraniuk, Rui M. Castro, Robert D. Nowak
Sequentially designed compressed sensing. SSP (2012)
Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation. IEEE Trans. Inf. Theory 57 (9) (2011)
Deniz Üstebay, Rui M. Castro, Michael G. Rabbat
Efficient Decentralized Approximation via Selective Gossip. IEEE J. Sel. Top. Signal Process. 5 (4) (2011)
Ali Tajer, Rui M. Castro, Xiaodong Wang
Adaptive spectrum sensing for agile cognitive radios. ICASSP (2010)
Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation. CoRR (2010)
Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
Improved bounds for sparse recovery from adaptive measurements. ISIT (2010)
Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
Distilled sensing: selective sampling for sparse signal recovery. AISTATS (2009)
Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
Adaptive discovery of sparse signals in noise. ACSCC (2008)
Rui M. Castro, Charles Kalish, Robert D. Nowak, Ruichen Qian, Timothy T. Rogers, Xiaojin Zhu
Human Active Learning. NIPS (2008)
Rui M. Castro, Robert D. Nowak
Minimax Bounds for Active Learning. IEEE Trans. Inf. Theory 54 (5) (2008)
Rui M. Castro, Jarvis D. Haupt, Robert D. Nowak, Gil M. Raz
Finding needles in noisy haystacks. ICASSP (2008)
Rui M. Castro, Robert D. Nowak
Minimax Bounds for Active Learning. COLT (2007)
Rui M. Castro, Jarvis D. Haupt, Robert D. Nowak
Compressed Sensing Vs. Active Learning. ICASSP (3) (2006)
Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
Compressed sensing in noisy imaging environments. Computational Imaging (2006)
Rui M. Castro, Rebecca Willett, Robert D. Nowak
Faster Rates in Regression via Active Learning. NIPS (2005)
Rui M. Castro, Rebecca Willett, Robert D. Nowak
Coarse-to-fine manifold learning [image processing example]. ICASSP (3) (2004)
Rui M. Castro, Mark Coates, Robert D. Nowak
Likelihood based hierarchical clustering. IEEE Trans. Signal Process. 52 (8) (2004)
Rui M. Castro, Robert D. Nowak
Likelihood Based Hierarchical Clustering and Network Topology Identification. EMMCVPR (2003)
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)