Dmitry M. Malioutov

28 papers A 1Misc 6Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2023 Misc conf
A Statistical Interpretation of the Maximum Subarray Problem.
ICASSP
Dennis Wei, Dmitry M. Malioutov
2023 A conf
Heavy Sets with Applications to Interpretable Machine Learning Diagnostics.
AISTATS
Dmitry M. Malioutov, Sanjeeb Dash, Dennis Wei
2017 J jnl
Proceedings of the 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017).
CoRR
Been Kim, Dmitry M. Malioutov, Kush R. Varshney, Adrian Weller
2016 J jnl
Covariance Matrix Estimation for Interest-Rate Risk Modeling via Smooth and Monotone Regularization.
IEEE J. Sel. Top. Signal Process.
Dmitry M. Malioutov, Aycan A. Corum, Müjdat Çetin
2016 J jnl
Interpretable Two-level Boolean Rule Learning for Classification.
CoRR
Guolong Su, Dennis Wei, Kush R. Varshney, Dmitry M. Malioutov
2016 — conf
Learning sparse two-level boolean rules.
MLSP
Guolong Su, Dennis Wei, Kush R. Varshney, Dmitry M. Malioutov
2016 J jnl
Proceedings of the 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016).
CoRR
Been Kim, Dmitry M. Malioutov, Kush R. Varshney
2015 J jnl
Interpretable Two-level Boolean Rule Learning for Classification.
CoRR
Guolong Su, Dennis Wei, Kush R. Varshney, Dmitry M. Malioutov
2015 Misc conf
Learning interpretable classification rules using sequential rowsampling.
ICASSP
Sanjeeb Dash, Dmitry M. Malioutov, Kush R. Varshney
2014 Misc conf
Screening for learning classification rules via Boolean compressed sensing.
ICASSP
Sanjeeb Dash, Dmitry M. Malioutov, Kush R. Varshney
2013 — conf
Exact Rule Learning via Boolean Compressed Sensing.
ICML (3)
Dmitry M. Malioutov, Kush R. Varshney
2012 Misc conf
Boolean compressed sensing: LP relaxation for group testing.
ICASSP
Dmitry M. Malioutov, Mikhail B. Malyutov
2011 J jnl
Belief Propagation and LP Relaxation for Weighted Matching in General Graphs.
IEEE Trans. Inf. Theory
Sujay Sanghavi, Dmitry M. Malioutov, Alan S. Willsky
2010 J jnl
Sequential Compressed Sensing
CoRR
Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Willsky
2010 J jnl
Sequential Compressed Sensing.
IEEE J. Sel. Top. Signal Process.
Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Willsky
2008 — —
Approximate inference in Gaussian graphical models.
Dmitry M. Malioutov
2008 Misc conf
Compressed sensing with sequential observations.
ICASSP
Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Willsky
2008 J jnl
Low-Rank Variance Approximation in GMRF Models: Single and Multiscale Approaches.
IEEE Trans. Signal Process.
Dmitry M. Malioutov, Jason K. Johnson, Myung Jin Choi, Alan S. Willsky
2007 — conf
GMRF Variance Approximation using Splicedwavelet Bases.
ICASSP (3)
Dmitry M. Malioutov, Jason K. Johnson, Alan S. Willsky
2007 J jnl
Lagrangian Relaxation for MAP Estimation in Graphical Models
CoRR
Jason K. Johnson, Dmitry M. Malioutov, Alan S. Willsky
2007 — conf
Linear programming analysis of loopy belief propagation for weighted matching.
NIPS
Sujay Sanghavi, Dmitry M. Malioutov, Alan S. Willsky
2006 — conf
Low-Rank Variance Estimation in Large-Scale Gmrf Models.
ICASSP (3)
Dmitry M. Malioutov, Jason K. Johnson, Alan S. Willsky
2006 J jnl
Walk-Sums and Belief Propagation in Gaussian Graphical Models.
J. Mach. Learn. Res.
Dmitry M. Malioutov, Jason K. Johnson, Alan S. Willsky
2005 J jnl
A sparse signal reconstruction perspective for source localization with sensor arrays.
IEEE Trans. Signal Process.
Dmitry M. Malioutov, Müjdat Çetin, Alan S. Willsky
2005 — conf
Homotopy continuation for sparse signal representation.
ICASSP (5)
Dmitry M. Malioutov, Müjdat Çetin, Alan S. Willsky
2005 — conf
Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation.
NIPS
Jason K. Johnson, Dmitry M. Malioutov, Alan S. Willsky
2004 — conf
Optimal sparse representations in general overcomplete bases.
ICASSP (2)
Dmitry M. Malioutov, Müjdat Çetin, Alan S. Willsky
2002 Misc conf
A variational technique for source localization based on a sparse signal reconstruction perspective.
ICASSP
Müjdat Çetin, Dmitry M. Malioutov, Alan S. Willsky