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Dmitry M. Malioutov
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2020 – today
- 2023
- [c15]Dmitry M. Malioutov, Sanjeeb Dash, Dennis Wei:
Heavy Sets with Applications to Interpretable Machine Learning Diagnostics. AISTATS 2023: 5918-5930 - [c14]Dennis Wei, Dmitry M. Malioutov:
A Statistical Interpretation of the Maximum Subarray Problem. ICASSP 2023: 1-5
2010 – 2019
- 2017
- [i6]Been Kim, Dmitry M. Malioutov, Kush R. Varshney, Adrian Weller:
Proceedings of the 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017). CoRR abs/1708.02666 (2017) - 2016
- [j6]Dmitry M. Malioutov, Aycan A. Corum, Müjdat Çetin:
Covariance Matrix Estimation for Interest-Rate Risk Modeling via Smooth and Monotone Regularization. IEEE J. Sel. Top. Signal Process. 10(6): 1006-1014 (2016) - [c13]Guolong Su, Dennis Wei, Kush R. Varshney, Dmitry M. Malioutov:
Learning sparse two-level boolean rules. MLSP 2016: 1-6 - [i5]Guolong Su, Dennis Wei, Kush R. Varshney, Dmitry M. Malioutov:
Interpretable Two-level Boolean Rule Learning for Classification. CoRR abs/1606.05798 (2016) - [i4]Been Kim, Dmitry M. Malioutov, Kush R. Varshney:
Proceedings of the 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016). CoRR abs/1607.02531 (2016) - 2015
- [c12]Sanjeeb Dash, Dmitry M. Malioutov, Kush R. Varshney:
Learning interpretable classification rules using sequential rowsampling. ICASSP 2015: 3337-3341 - [i3]Guolong Su, Dennis Wei, Kush R. Varshney, Dmitry M. Malioutov:
Interpretable Two-level Boolean Rule Learning for Classification. CoRR abs/1511.07361 (2015) - 2014
- [c11]Sanjeeb Dash, Dmitry M. Malioutov, Kush R. Varshney:
Screening for learning classification rules via Boolean compressed sensing. ICASSP 2014: 3360-3364 - 2013
- [c10]Dmitry M. Malioutov, Kush R. Varshney:
Exact Rule Learning via Boolean Compressed Sensing. ICML (3) 2013: 765-773 - 2012
- [c9]Dmitry M. Malioutov, Mikhail B. Malyutov:
Boolean compressed sensing: LP relaxation for group testing. ICASSP 2012: 3305-3308 - 2011
- [j5]Sujay Sanghavi, Dmitry M. Malioutov, Alan S. Willsky:
Belief Propagation and LP Relaxation for Weighted Matching in General Graphs. IEEE Trans. Inf. Theory 57(4): 2203-2212 (2011) - 2010
- [j4]Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Willsky:
Sequential Compressed Sensing. IEEE J. Sel. Top. Signal Process. 4(2): 435-444 (2010) - [i2]Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Willsky:
Sequential Compressed Sensing. CoRR abs/1003.0219 (2010)
2000 – 2009
- 2008
- [b1]Dmitry M. Malioutov:
Approximate inference in Gaussian graphical models. Massachusetts Institute of Technology, Cambridge, MA, USA, 2008 - [j3]Dmitry M. Malioutov, Jason K. Johnson, Myung Jin Choi, Alan S. Willsky:
Low-Rank Variance Approximation in GMRF Models: Single and Multiscale Approaches. IEEE Trans. Signal Process. 56(10-1): 4621-4634 (2008) - [c8]Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Willsky:
Compressed sensing with sequential observations. ICASSP 2008: 3357-3360 - 2007
- [c7]Dmitry M. Malioutov, Jason K. Johnson, Alan S. Willsky:
GMRF Variance Approximation using Splicedwavelet Bases. ICASSP (3) 2007: 1101-1104 - [c6]Sujay Sanghavi, Dmitry M. Malioutov, Alan S. Willsky:
Linear programming analysis of loopy belief propagation for weighted matching. NIPS 2007: 1273-1280 - [i1]Jason K. Johnson, Dmitry M. Malioutov, Alan S. Willsky:
Lagrangian Relaxation for MAP Estimation in Graphical Models. CoRR abs/0710.0013 (2007) - 2006
- [j2]Dmitry M. Malioutov, Jason K. Johnson, Alan S. Willsky:
Walk-Sums and Belief Propagation in Gaussian Graphical Models. J. Mach. Learn. Res. 7: 2031-2064 (2006) - [c5]Dmitry M. Malioutov, Jason K. Johnson, Alan S. Willsky:
Low-Rank Variance Estimation in Large-Scale Gmrf Models. ICASSP (3) 2006: 676-679 - 2005
- [j1]Dmitry M. Malioutov, Müjdat Çetin, Alan S. Willsky:
A sparse signal reconstruction perspective for source localization with sensor arrays. IEEE Trans. Signal Process. 53(8-2): 3010-3022 (2005) - [c4]Dmitry M. Malioutov, Müjdat Çetin, Alan S. Willsky:
Homotopy continuation for sparse signal representation. ICASSP (5) 2005: 733-736 - [c3]Jason K. Johnson, Dmitry M. Malioutov, Alan S. Willsky:
Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation. NIPS 2005: 579-586 - 2004
- [c2]Dmitry M. Malioutov, Müjdat Çetin, Alan S. Willsky:
Optimal sparse representations in general overcomplete bases. ICASSP (2) 2004: 793-796 - 2002
- [c1]Müjdat Çetin, Dmitry M. Malioutov, Alan S. Willsky:
A variational technique for source localization based on a sparse signal reconstruction perspective. ICASSP 2002: 2965-2968
Coauthor Index
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