Rui M. Castro

Fredrik Hellström

Tim van Erven

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Equipping SBMs with RBMs: an interpretable approach for analysis of networks with covariates.

[BibT_eX]

[DOI]

J. Complex Networks, 2021

Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

A Statistical Model for Dynamic Networks with Neural Variational Inference.

[BibT_eX]

[DOI]

Shubham Gupta

Ambedkar Dukkipati

CoRR, 2019

Restricted Boltzmann Stochastic Block Model: A Generative Model for Networks with Attributes.

[BibT_eX]

[DOI]

Shubham Gupta

Ambedkar Dukkipati

CoRR, 2019

2017

Adaptive Compressed Sensing for Support Recovery of Structured Sparse Sets.

[BibT_eX]

[DOI]

Ervin Tanczos

IEEE Trans. Inf. Theory, 2017

2015

Adaptive Sensing for Estimation of Structured Sparse Signals.

[BibT_eX]

[DOI]

Ervin Tanczos

IEEE Trans. Inf. Theory, 2015

2014

Detection of Correlations With Adaptive Sensing.

[BibT_eX]

[DOI]

Gábor Lugosi

Pierre-André Savalle

IEEE Trans. Inf. Theory, 2014

2012

Adaptive Sensing of Congested Spectrum Bands.

[BibT_eX]

[DOI]

Ali Tajer

Xiaodong Wang

IEEE Trans. Inf. Theory, 2012

Sequentially designed compressed sensing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Joint Optimization and Variable Selection of High-dimensional Gaussian Processes.

[BibT_eX]

[DOI]

Bo Chen

Andreas Krause

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2011

Efficient Decentralized Approximation via Selective Gossip.

[BibT_eX]

[DOI]

Deniz Üstebay

Michael G. Rabbat

IEEE J. Sel. Top. Signal Process., 2011

2010

Improved bounds for sparse recovery from adaptive measurements.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2010

Adaptive spectrum sensing for agile cognitive radios.

[BibT_eX]

[DOI]

Ali Tajer

Xiaodong Wang

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Distilled sensing: selective sampling for sparse signal recovery.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

2008

Minimax Bounds for Active Learning.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2008

Human Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Finding needles in noisy haystacks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2008

Adaptive discovery of sparse signals in noise.

[BibT_eX]

[DOI]

Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2006

Compressed Sensing Vs. Active Learning.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Compressed sensing in noisy imaging environments.

[BibT_eX]

[DOI]

Proceedings of the Computational Imaging IV, San Jose, 2006

2005

Faster Rates in Regression via Active Learning.

[BibT_eX]

[DOI]

Rebecca Willett

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004

Likelihood based hierarchical clustering.

[BibT_eX]

[DOI]

Mark Coates

IEEE Trans. Signal Process., 2004

Coarse-to-fine manifold learning [image processing example].

[BibT_eX]

[DOI]

Rebecca Willett

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003

Likelihood Based Hierarchical Clustering and Network Topology Identification.

[BibT_eX]

[DOI]