Dmitry Malioutov

21 papers A* 2A 4B 1C 1Misc 1Journal 9Unranked 3

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