Dmitry M. Malioutov

Proceedings of the IEEE International Conference on Acoustics, 2023

Heavy Sets with Applications to Interpretable Machine Learning Diagnostics.

[BibT_eX]

[DOI]

Sanjeeb Dash

Dennis Wei

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2017

Proceedings of the 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017).

[BibT_eX]

[DOI]

CoRR, 2017

2016

Covariance Matrix Estimation for Interest-Rate Risk Modeling via Smooth and Monotone Regularization.

[BibT_eX]

[DOI]

Aycan A. Corum

IEEE J. Sel. Top. Signal Process., 2016

Proceedings of the 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016).

[BibT_eX]

[DOI]

Been Kim

CoRR, 2016

Learning sparse two-level boolean rules.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

2015

Interpretable Two-level Boolean Rule Learning for Classification.

[BibT_eX]

[DOI]

CoRR, 2015

Learning interpretable classification rules using sequential rowsampling.

[BibT_eX]

[DOI]

Sanjeeb Dash

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Screening for learning classification rules via Boolean compressed sensing.

[BibT_eX]

[DOI]

Sanjeeb Dash

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Exact Rule Learning via Boolean Compressed Sensing.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Boolean compressed sensing: LP relaxation for group testing.

[BibT_eX]

[DOI]

Mikhail B. Malyutov

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Belief Propagation and LP Relaxation for Weighted Matching in General Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2011

2010

Sequential Compressed Sensing.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2010

2008

Approximate inference in Gaussian graphical models.

[BibT_eX]

[DOI]

PhD thesis, 2008

Low-Rank Variance Approximation in GMRF Models: Single and Multiscale Approaches.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2008

Compressed sensing with sequential observations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Lagrangian Relaxation for MAP Estimation in Graphical Models

[BibT_eX]

[DOI]

CoRR, 2007

Linear programming analysis of loopy belief propagation for weighted matching.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

GMRF Variance Approximation using Splicedwavelet Bases.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

Walk-Sums and Belief Propagation in Gaussian Graphical Models.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2006

Low-Rank Variance Estimation in Large-Scale Gmrf Models.

[BibT_eX]

[DOI]

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

2005

A sparse signal reconstruction perspective for source localization with sensor arrays.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2005

Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation.

[BibT_eX]

[DOI]

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

Homotopy continuation for sparse signal representation.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

Optimal sparse representations in general overcomplete bases.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2002

A variational technique for source localization based on a sparse signal reconstruction perspective.

[BibT_eX]

[DOI]