Sequential Compressed Sensing von Malioutov, D.M., Sanghavi, S.R., Willsky, A.S.

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Covariance Matrix Estimation for Interest-Rate Risk Modeling via Smooth and Monotone Regularization von Malioutov, Dmitry M., Corum, Aycan A., Çetin, Mujdat

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Low-Rank Variance Approximation in GMRF Models: Single and Multiscale Approaches von Malioutov, D.M., Johnson, J.K., Myung Jin Choi, Willsky, A.S.

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Approximating Spectral Sums of Large-Scale Matrices using Stochastic Chebyshev Approximations von Han, Insu, Malioutov, Dmitry, Avron, Haim, Shin, Jinwoo

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Efficient Learning of Interpretable Classification Rules von Ghosh, Bishwamittra, Malioutov, Dmitry, Meel, Kuldeep S.

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A sparse signal reconstruction perspective for source localization with sensor arrays von Malioutov, D., Cetin, M., Willsky, A.S.

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Multiscale stochastic modeling for tractable inference and data assimilation von Choi, Myung Jin, Chandrasekaran, Venkat, Malioutov, Dmitry M., Johnson, Jason K., Willsky, Alan S.

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MLIC: A MaxSAT-Based Framework for Learning Interpretable Classification Rules von Malioutov, Dmitry, Meel, Kuldeep S.

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Quantifying Homologous Proteins and Proteoforms[S] von Malioutov, Dmitry, Chen, Tianchi, Airoldi, Edoardo, Jaffe, Jacob, Budnik, Bogdan, Slavov, Nikolai

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Belief Propagation and LP Relaxation for Weighted Matching in General Graphs von Sanghavi, S, Malioutov, D, Willsky, A

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Boolean compressed sensing: LP relaxation for group testing von Malioutov, D., Malyutov, M.

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Learning Interpretable Classification Rules with Boolean Compressed Sensing von Malioutov, Dmitry M., Varshney, Kush R., Emad, Amin, Dash, Sanjeeb

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Homotopy continuation for sparse signal representation von Malioutov, D.M., Cetin, M., Willsky, A.S.

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Introduction to the Issue on Financial Signal Processing and Machine Learning for Electronic Trading von Akansu, Ali N., Malioutov, Dmitry, Palomar, Daniel P., Jay, Emmanuelle, Mandic, Danilo P.

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Quantifying Homologous Proteins and Proteoforms von Malioutov, Dmitry, Chen, Tianchi, Airoldi, Edoardo, Jaffe, Jacob, Budnik, Bogdan, Slavov, Nikolai

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A Statistical Interpretation of the Maximum Subarray Problem von Wei, Dennis, Malioutov, Dmitry M

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Smooth monotone covariance for elliptical distributions and applications in finance von Zhou, Xiaoping, Malioutov, Dmitry, Fabozzi, Frank J., Rachev, Svetlozar T.

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Efficient Learning of Interpretable Classification Rules von Ghosh, Bishwamittra, Malioutov, Dmitry, Meel, Kuldeep S

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MLIC: A MaxSAT-Based framework for learning interpretable classification rules von Malioutov, Dmitry, Meel, Kuldeep S

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Multiscale stochastic modeling for tractable inference and data assimilation: Stochastic Modeling of Multiscale and Multiphysics Problems von MYUNG JIN CHOI, CHANDRASEKARAN, Venkat, MALIOUTOV, Dmitry M, JOHNSON, Jason K, WILLSKY, Alan S

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