Rui M. Castro

31 papers A* 5A 1B 1Misc 2Journal 14Unranked 8
YearRankTypeTitle / Venue / Authors
2023 A* conf
Adaptive Selective Sampling for Online Prediction with Experts.
NeurIPS
Rui M. Castro, Fredrik Hellström, Tim van Erven
2023 J jnl
Adaptive Selective Sampling for Online Prediction with Experts.
CoRR
Rui M. Castro, Fredrik Hellström, Tim van Erven
2021 J jnl
Equipping SBMs with RBMs: an interpretable approach for analysis of networks with covariates.
J. Complex Networks
Shubham Gupta, Gururaj K, Ambedkar Dukkipati, Rui M. Castro
2021 A* conf
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs.
AAAI
Tony Gracious, Shubham Gupta, Arun Kanthali, Rui M. Castro, Ambedkar Dukkipati
2019 J jnl
A Statistical Model for Dynamic Networks with Neural Variational Inference.
CoRR
Shubham Gupta, Rui M. Castro, Ambedkar Dukkipati
2019 J jnl
Restricted Boltzmann Stochastic Block Model: A Generative Model for Networks with Attributes.
CoRR
Shubham Gupta, Ambedkar Dukkipati, Rui M. Castro
2017 J jnl
Adaptive Compressed Sensing for Support Recovery of Structured Sparse Sets.
IEEE Trans. Inf. Theory
Rui M. Castro, Ervin Tanczos
2015 J jnl
Adaptive Sensing for Estimation of Structured Sparse Signals.
IEEE Trans. Inf. Theory
Rui M. Castro, Ervin Tanczos
2014 J jnl
Detection of Correlations With Adaptive Sensing.
IEEE Trans. Inf. Theory
Rui M. Castro, Gábor Lugosi, Pierre-André Savalle
2012 J jnl
Adaptive Sensing of Congested Spectrum Bands
CoRR
Ali Tajer, Rui M. Castro, Xiaodong Wang
2012 J jnl
Adaptive Sensing of Congested Spectrum Bands.
IEEE Trans. Inf. Theory
Ali Tajer, Rui M. Castro, Xiaodong Wang
2012 A* conf
Joint Optimization and Variable Selection of High-dimensional Gaussian Processes.
ICML
Bo Chen, Rui M. Castro, Andreas Krause
2012 — conf
Sequentially designed compressed sensing.
SSP
Jarvis D. Haupt, Richard G. Baraniuk, Rui M. Castro, Robert D. Nowak
2011 J jnl
Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation.
IEEE Trans. Inf. Theory
Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
2011 J jnl
Efficient Decentralized Approximation via Selective Gossip.
IEEE J. Sel. Top. Signal Process.
Deniz Üstebay, Rui M. Castro, Michael G. Rabbat
2010 Misc conf
Adaptive spectrum sensing for agile cognitive radios.
ICASSP
Ali Tajer, Rui M. Castro, Xiaodong Wang
2010 J jnl
Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation.
CoRR
Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
2010 B conf
Improved bounds for sparse recovery from adaptive measurements.
ISIT
Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
2009 A conf
Distilled sensing: selective sampling for sparse signal recovery.
AISTATS
Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
2008 — conf
Adaptive discovery of sparse signals in noise.
ACSCC
Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
2008 Misc conf
Finding needles in noisy haystacks.
ICASSP
Rui M. Castro, Jarvis D. Haupt, Robert D. Nowak, Gil M. Raz
2008 — conf
Human Active Learning.
NIPS
Rui M. Castro, Charles Kalish, Robert D. Nowak, Ruichen Qian, Timothy T. Rogers, Xiaojin Zhu
2008 J jnl
Minimax Bounds for Active Learning.
IEEE Trans. Inf. Theory
Rui M. Castro, Robert D. Nowak
2007 A* conf
Minimax Bounds for Active Learning.
COLT
Rui M. Castro, Robert D. Nowak
2006 — conf
Compressed Sensing Vs. Active Learning.
ICASSP (3)
Rui M. Castro, Jarvis D. Haupt, Robert D. Nowak
2006 — conf
Compressed sensing in noisy imaging environments.
Computational Imaging
Jarvis D. Haupt, Rui M. Castro, Robert D. Nowak
2005 — conf
Faster Rates in Regression via Active Learning.
NIPS
Rui M. Castro, Rebecca Willett, Robert D. Nowak
2004 — conf
Coarse-to-fine manifold learning [image processing example].
ICASSP (3)
Rui M. Castro, Rebecca Willett, Robert D. Nowak
2004 J jnl
Likelihood based hierarchical clustering.
IEEE Trans. Signal Process.
Rui M. Castro, Mark Coates, Robert D. Nowak
2003 — conf
Likelihood Based Hierarchical Clustering and Network Topology Identification.
EMMCVPR
Rui M. Castro, Robert D. Nowak
2002 A* conf
Maximum likelihood network topology identification from edge-based unicast measurements.
SIGMETRICS
Mark Coates, Rui M. Castro, Robert D. Nowak, Manik Gadhiok, Ryan King, Yolanda Tsang