Dmitry M. Malioutov

发表

Exact Rule Learning via Boolean Compressed Sensing

Kush R. Varshney, Dmitry M. Malioutov, D. Malioutov, 2013, ICML.

A sparse signal reconstruction perspective for source localization with sensor arrays

Dmitry M. Malioutov, Alan S. Willsky, Müjdat Çetin, 2005, IEEE Transactions on Signal Processing.

Lagrangian Relaxation for MAP Estimation in Graphical Models pdf

Dmitry M. Malioutov, Alan S. Willsky, Jason K. Johnson, 2007, ArXiv.

Sequential Compressed Sensing

Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Willsky, 2010, IEEE Journal of Selected Topics in Signal Processing.

Homotopy continuation for sparse signal representation

Dmitry M. Malioutov, Alan S. Willsky, Müjdat Çetin, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Low-Rank Variance Estimation in Large-Scale Gmrf Models

Dmitry M. Malioutov, Alan S. Willsky, Jason K. Johnson, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Optimal sparse representations in general overcomplete bases

Dmitry M. Malioutov, Alan S. Willsky, Müjdat Çetin, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

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

Dmitry M. Malioutov, Müjdat Çetin, Aycan A. Corum, 2016, IEEE Journal of Selected Topics in Signal Processing.

Interpretable Two-level Boolean Rule Learning for Classification pdf

Kush R. Varshney, Dmitry M. Malioutov, Dennis Wei, 2015, ArXiv.

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

Dmitry M. Malioutov, Alan S. Willsky, Müjdat Çetin, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

CVaR Minimizations in Support Vector Machines

Ali N. Akansu, Sanjeev R. Kulkarni, Dmitry M. Malioutov, 2016 .

Learning interpretable classification rules using sequential rowsampling

Kush R. Varshney, Dmitry M. Malioutov, Sanjeeb Dash, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Kush R. Varshney, Dmitry M. Malioutov, Adrian Weller, 2017, ArXiv.

Linear programming analysis of loopy belief propagation for weighted matching

Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Willsky, 2007, NIPS.

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

Dmitry M. Malioutov, Alan S. Willsky, Jason K. Johnson, 2008, IEEE Transactions on Signal Processing.

Screening for learning classification rules via Boolean compressed sensing

Kush R. Varshney, Dmitry M. Malioutov, Sanjeeb Dash, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Kush R. Varshney, Dmitry M. Malioutov, Been Kim, 2016, ArXiv.

Learning sparse two-level boolean rules

Kush R. Varshney, Dmitry M. Malioutov, Dennis Wei, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

GMRF Variance Approximation using Splicedwavelet Bases

Dmitry M. Malioutov, Alan S. Willsky, Jason K. Johnson, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Walk-Sums and Belief Propagation in Gaussian Graphical Models

Dmitry M. Malioutov, Alan S. Willsky, Jason K. Johnson, 2006, J. Mach. Learn. Res..

Belief Propagation and LP Relaxation for Weighted Matching in General Graphs

Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Willsky, 2011, IEEE Transactions on Information Theory.

Boolean compressed sensing: LP relaxation for group testing

Dmitry M. Malioutov, Mikhail B. Malyutov, D. Malioutov, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Approximate inference in Gaussian graphical models

Dmitry M. Malioutov, D. Malioutov, 2008 .

Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation

Dmitry M. Malioutov, Alan S. Willsky, Jason K. Johnson, 2005, NIPS.

Compressed sensing with sequential observations

Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Willsky, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

A Semiquantitative Group Testing Approach for Learning Interpretable Clinical Prediction Rules

Kush R. Varshney, Dmitry M. Malioutov, Amin Emad, 2015 .

Mean-Reverting Portfolios

Ali N. Akansu, Sanjeev R. Kulkarni, Dmitry M. Malioutov, 2016 .

A Robust Nonlinear Kalman Smoothing Approach for Dynamic Matrix Factorization

Kush R. Varshney, Dmitry M. Malioutov, Aleksandr Y. Aravkin, 2015 .