Dmitry M. Malioutov - researchr alias

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Viewing Publication 1 - 22 from 22

2023

Heavy Sets with Applications to Interpretable Machine Learning DiagnosticsDmitry M. Malioutov, Sanjeeb Dash, Dennis Wei. aistats 2023: 5918-5930 [doi]

A Statistical Interpretation of the Maximum Subarray ProblemDennis Wei, Dmitry M. Malioutov. icassp 2023: 1-5 [doi]

2016

Covariance Matrix Estimation for Interest-Rate Risk Modeling via Smooth and Monotone RegularizationDmitry M. Malioutov, Aycan A. Corum, Müjdat Çetin. jstsp, 10(6):1006-1014, 2016. [doi]

Learning sparse two-level boolean rulesGuolong Su, Dennis Wei, Kush R. Varshney, Dmitry M. Malioutov. mlsp 2016: 1-6 [doi]

2015

Learning interpretable classification rules using sequential rowsamplingSanjeeb Dash, Dmitry M. Malioutov, Kush R. Varshney. icassp 2015: 3337-3341 [doi]

2014

Screening for learning classification rules via Boolean compressed sensingSanjeeb Dash, Dmitry M. Malioutov, Kush R. Varshney. icassp 2014: 3360-3364 [doi]

2013

Exact Rule Learning via Boolean Compressed SensingDmitry M. Malioutov, Kush Varshney. icml 2013: 765-773 [doi]

2012

Boolean compressed sensing: LP relaxation for group testingDmitry M. Malioutov, Mikhail B. Malyutov. icassp 2012: 3305-3308 [doi]

2011

Belief Propagation and LP Relaxation for Weighted Matching in General GraphsSujay Sanghavi, Dmitry M. Malioutov, Alan S. Willsky. TIT, 57(4):2203-2212, 2011. [doi]

2010

Sequential Compressed SensingDmitry M. Malioutov, Sujay Sanghavi, Alan S. Willsky. jstsp, 4(2):435-444, 2010. [doi]

2008

Approximate inference in Gaussian graphical modelsDmitry M. Malioutov. PhD thesis, Massachusetts Institute of Technology, Cambridge, MA, USA, 2008. [doi]

Low-Rank Variance Approximation in GMRF Models: Single and Multiscale ApproachesDmitry M. Malioutov, Jason K. Johnson, Myung Jin Choi, Alan S. Willsky. tsp, 56(10-1):4621-4634, 2008. [doi]

Compressed sensing with sequential observationsDmitry M. Malioutov, Sujay Sanghavi, Alan S. Willsky. icassp 2008: 3357-3360 [doi]

2007

GMRF Variance Approximation using Splicedwavelet BasesDmitry M. Malioutov, Jason K. Johnson, Alan S. Willsky. icassp 2007: 1101-1104 [doi]

Linear programming analysis of loopy belief propagation for weighted matchingSujay Sanghavi, Dmitry M. Malioutov, Alan S. Willsky. nips 2008: 1273-1280 [doi]

2006

Low-Rank Variance Estimation in Large-Scale Gmrf ModelsDmitry M. Malioutov, Jason K. Johnson, Alan S. Willsky. icassp 2006: 676-679 [doi]

Walk-Sums and Belief Propagation in Gaussian Graphical ModelsDmitry M. Malioutov, Jason K. Johnson, Alan S. Willsky. jmlr, 7:2031-2064, 2006. [doi]

2005

Walk-Sum Interpretation and Analysis of Gaussian Belief PropagationJason K. Johnson, Dmitry M. Malioutov, Alan S. Willsky. nips 2005: 579-586 [doi]

A sparse signal reconstruction perspective for source localization with sensor arraysDmitry M. Malioutov, Müjdat Çetin, Alan S. Willsky. tsp, 53(8-2):3010-3022, 2005. [doi]

Homotopy continuation for sparse signal representationDmitry M. Malioutov, Müjdat Çetin, Alan S. Willsky. icassp 2005: 733-736 [doi]

2004

Optimal sparse representations in general overcomplete basesDmitry M. Malioutov, Müjdat Çetin, Alan S. Willsky. icassp 2004: 793-796 [doi]

2002

A variational technique for source localization based on a sparse signal reconstruction perspectiveMüjdat Çetin, Dmitry M. Malioutov, Alan S. Willsky. icassp 2002: 2965-2968 [doi]

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