A variational technique for source localization based on a sparse signal reconstruction perspective. - Müjdat Çetin; Dmitry M. Malioutov; Alan S. Willsky (ICASSP, 2002)

Optimal sparse representations in general overcomplete bases. - Dmitry M. Malioutov; Müjdat Çetin; Alan S. Willsky (ICASSP (2), 2004)

Homotopy continuation for sparse signal representation. - Dmitry M. Malioutov; Müjdat Çetin; Alan S. Willsky (ICASSP (5), 2005)

Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation. - Jason K. Johnson; Dmitry M. Malioutov; Alan S. Willsky (NIPS, 2005)

A sparse signal reconstruction perspective for source localization with sensor arrays. - Dmitry M. Malioutov; Müjdat Çetin; Alan S. Willsky (IEEE Trans. Signal Process., 2005)

Low-Rank Variance Estimation in Large-Scale Gmrf Models. - Dmitry M. Malioutov; Jason K. Johnson; Alan S. Willsky (ICASSP (3), 2006)

Walk-Sums and Belief Propagation in Gaussian Graphical Models. - Dmitry M. Malioutov; Jason K. Johnson; Alan S. Willsky (J. Mach. Learn. Res., 2006)

GMRF Variance Approximation using Splicedwavelet Bases. - Dmitry M. Malioutov; Jason K. Johnson; Alan S. Willsky (ICASSP (3), 2007)

Linear programming analysis of loopy belief propagation for weighted matching. - Sujay Sanghavi; Dmitry M. Malioutov; Alan S. Willsky (NIPS, 2007)

Lagrangian Relaxation for MAP Estimation in Graphical Models - Jason K. Johnson; Dmitry M. Malioutov; Alan S. Willsky (CoRR, 2007)

Compressed sensing with sequential observations. - Dmitry M. Malioutov; Sujay Sanghavi; Alan S. Willsky (ICASSP, 2008)

Low-Rank Variance Approximation in GMRF Models: Single and Multiscale Approaches. - Dmitry M. Malioutov; Jason K. Johnson; Myung Jin Choi; Alan S. Willsky (IEEE Trans. Signal Process., 2008)

Approximate inference in Gaussian graphical models. - Dmitry M. Malioutov (2008)

Sequential Compressed Sensing. - Dmitry M. Malioutov; Sujay Sanghavi; Alan S. Willsky (IEEE J. Sel. Top. Signal Process., 2010)

Belief Propagation and LP Relaxation for Weighted Matching in General Graphs. - Sujay Sanghavi; Dmitry M. Malioutov; Alan S. Willsky (IEEE Trans. Inf. Theory, 2011)

Boolean compressed sensing: LP relaxation for group testing. - Dmitry M. Malioutov; Mikhail B. Malyutov (ICASSP, 2012)

Exact Rule Learning via Boolean Compressed Sensing. - Dmitry M. Malioutov; Kush R. Varshney (ICML (3), 2013)

Screening for learning classification rules via Boolean compressed sensing. - Sanjeeb Dash; Dmitry M. Malioutov; Kush R. Varshney (ICASSP, 2014)

Learning interpretable classification rules using sequential rowsampling. - Sanjeeb Dash; Dmitry M. Malioutov; Kush R. Varshney (ICASSP, 2015)

Interpretable Two-level Boolean Rule Learning for Classification. - Guolong Su; Dennis Wei; Kush R. Varshney; Dmitry M. Malioutov (CoRR, 2015)

Learning sparse two-level boolean rules. - Guolong Su; Dennis Wei; Kush R. Varshney; Dmitry M. Malioutov (MLSP, 2016)

Proceedings of the 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016). - Been Kim; Dmitry M. Malioutov; Kush R. Varshney (CoRR, 2016)

Covariance Matrix Estimation for Interest-Rate Risk Modeling via Smooth and Monotone Regularization. - Dmitry M. Malioutov; Aycan A. Corum; Müjdat Çetin (IEEE J. Sel. Top. Signal Process., 2016)

Proceedings of the 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017). - Been Kim; Dmitry M. Malioutov; Kush R. Varshney; Adrian Weller (CoRR, 2017)

Heavy Sets with Applications to Interpretable Machine Learning Diagnostics. - Dmitry M. Malioutov; Sanjeeb Dash; Dennis Wei (AISTATS, 2023)

A Statistical Interpretation of the Maximum Subarray Problem. - Dennis Wei; Dmitry M. Malioutov (ICASSP, 2023)