Dmitry Malioutov

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 11

Top Topics

Similarity Matrices

Subset Selection

Classification Rules

Top Venues

Publications

Bishwamittra Ghosh, Dmitry Malioutov, Kuldeep S. Meel
Efficient Learning of Interpretable Classification Rules. CoRR (2022)
Bishwamittra Ghosh, Dmitry Malioutov, Kuldeep S. Meel
Efficient Learning of Interpretable Classification Rules. J. Artif. Intell. Res. 74 (2022)
Bishwamittra Ghosh, Dmitry Malioutov, Kuldeep S. Meel
Classification Rules in Relaxed Logical Form. ECAI (2020)
Dmitry Malioutov, Kuldeep S. Meel
MLIC: A MaxSAT-Based framework for learning interpretable classification rules. CoRR (2018)
Dmitry Malioutov, Kuldeep S. Meel
MLIC: A MaxSAT-Based Framework for Learning Interpretable Classification Rules. CP (2018)
Insu Han, Dmitry Malioutov, Haim Avron, Jinwoo Shin
Approximating Spectral Sums of Large-Scale Matrices using Stochastic Chebyshev Approximations. SIAM J. Sci. Comput. 39 (4) (2017)
Raimo Bakis, Daniel P. Connors, Parijat Dube, Pavan Kapanipathi, Abhishek Kumar, Dmitry Malioutov, Chitra Venkatramani
Performance of natural language classifiers in a question-answering system. IBM J. Res. Dev. 61 (4-5) (2017)
Ali N. Akansu, Dmitry Malioutov, Daniel P. Palomar, Emmanuelle Jay, Danilo P. Mandic
Introduction to the Issue on Financial Signal Processing and Machine Learning for Electronic Trading. IEEE J. Sel. Top. Signal Process. 10 (6) (2016)
Dmitry Malioutov, Abhishek Kumar, Ian En-Hsu Yen
Large-scale Submodular Greedy Exemplar Selection with Structured Similarity Matrices. UAI (2016)
Ian En-Hsu Yen, Dmitry Malioutov, Abhishek Kumar
Scalable Exemplar Clustering and Facility Location via Augmented Block Coordinate Descent with Column Generation. AISTATS (2016)
Insu Han, Dmitry Malioutov, Haim Avron, Jinwoo Shin
Approximating the Spectral Sums of Large-scale Matrices using Chebyshev Approximations. CoRR (2016)
Insu Han, Dmitry Malioutov, Jinwoo Shin
Large-scale log-determinant computation through stochastic Chebyshev expansions. ICML (2015)
Insu Han, Dmitry Malioutov, Jinwoo Shin
Large-scale Log-determinant Computation through Stochastic Chebyshev Expansions. CoRR (2015)
Dmitry Malioutov, Aleksandr Y. Aravkin
Iterative log thresholding. ICASSP (2014)
Dmitry Malioutov, Nikolai Slavov
Convex Total Least Squares. ICML (2014)
Dmitry Malioutov, Nikolai Slavov
Convex Total Least Squares. CoRR (2014)
Dmitry Malioutov
Beyond PCA for modeling financial time-series. GlobalSIP (2013)
Christos Boutsidis, Dmitry Malioutov
Equity factor analysis via column subset selection. GlobalSIP (2013)
Sujay Sanghavi, Dmitry Malioutov, Alan S. Willsky
Networking sensors using belief propagation. Allerton (2008)
Emin Martinian, Anthony Vetro, Jonathan S. Yedidia, João Ascenso, Ashish Khisti, Dmitry Malioutov
Hybrid Distributed Video Coding Using SCA Codes. MMSP (2006)
Johnny Chen, Ashish Khisti, Dmitry Malioutov, Jonathan S. Yedidia
Distributed source coding using serially-concatenated-accumulate codes. ITW (2004)