Dmitry Malioutov

According to our database, Dmitry Malioutov authored at least 17 papers between 2004 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Efficient Learning of Interpretable Classification Rules.

Bishwamittra Ghosh, Dmitry Malioutov, Kuldeep S. Meel

J. Artif. Intell. Res., 2022

2020

Classification Rules in Relaxed Logical Form.

Bishwamittra Ghosh, Dmitry Malioutov, Kuldeep S. Meel

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2018

MLIC: A MaxSAT-Based Framework for Learning Interpretable Classification Rules.

Dmitry Malioutov, Kuldeep S. Meel

Proceedings of the Principles and Practice of Constraint Programming, 2018

2017

Approximating Spectral Sums of Large-Scale Matrices using Stochastic Chebyshev Approximations.

Insu Han, Dmitry Malioutov, Haim Avron, Jinwoo Shin

SIAM J. Sci. Comput., 2017

Performance of natural language classifiers in a question-answering system.

Raimo Bakis, Daniel P. Connors, Parijat Dube, Pavan Kapanipathi, Abhishek Kumar, Dmitry Malioutov, Chitra Venkatramani

IBM J. Res. Dev., 2017

2016

Introduction to the Issue on Financial Signal Processing and Machine Learning for Electronic Trading.

Ali N. Akansu, Dmitry Malioutov, Daniel P. Palomar, Emmanuelle Jay, Danilo P. Mandic

IEEE J. Sel. Top. Signal Process., 2016

Approximating the Spectral Sums of Large-scale Matrices using Chebyshev Approximations.

Insu Han, Dmitry Malioutov, Haim Avron, Jinwoo Shin

CoRR, 2016

Large-scale Submodular Greedy Exemplar Selection with Structured Similarity Matrices.

Dmitry Malioutov, Abhishek Kumar, Ian En-Hsu Yen

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Scalable Exemplar Clustering and Facility Location via Augmented Block Coordinate Descent with Column Generation.

Ian En-Hsu Yen, Dmitry Malioutov, Abhishek Kumar

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Large-scale log-determinant computation through stochastic Chebyshev expansions.

Insu Han, Dmitry Malioutov, Jinwoo Shin

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Convex Total Least Squares.

Dmitry Malioutov, Nikolai Slavov

Proceedings of the 31th International Conference on Machine Learning, 2014

Iterative log thresholding.

Dmitry Malioutov, Aleksandr Y. Aravkin

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Beyond PCA for modeling financial time-series.

Dmitry Malioutov

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Equity factor analysis via column subset selection.

Christos Boutsidis, Dmitry Malioutov

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2008

Networking sensors using belief propagation.

Sujay Sanghavi, Dmitry Malioutov, Alan S. Willsky

Proceedings of the 46th Annual Allerton Conference on Communication, 2008

2006

Hybrid Distributed Video Coding Using SCA Codes.

Emin Martinian, Anthony Vetro, Jonathan S. Yedidia, João Ascenso, Ashish Khisti, Dmitry Malioutov

Proceedings of the IEEE 8th Workshop on Multimedia Signal Processing, 2006

2004

Distributed source coding using serially-concatenated-accumulate codes.

Johnny Chen, Ashish Khisti, Dmitry Malioutov, Jonathan S. Yedidia

Proceedings of the 2004 IEEE Information Theory Workshop, 2004