| 2020 | ECAI | Classification Rules in Relaxed Logical Form. | Bishwamittra Ghosh, Dmitry Malioutov, Kuldeep S. Meel |
| 2018 | CP | MLIC: A MaxSAT-Based Framework for Learning Interpretable Classification Rules. | Dmitry Malioutov, Kuldeep S. Meel |
| 2016 | AISTATS | Scalable Exemplar Clustering and Facility Location via Augmented Block Coordinate Descent with Column Generation. | Ian En-Hsu Yen, Dmitry Malioutov, Abhishek Kumar |
| 2016 | UAI | Large-scale Submodular Greedy Exemplar Selection with Structured Similarity Matrices. | Dmitry Malioutov, Abhishek Kumar, Ian En-Hsu Yen |
| 2015 | ICML | Large-scale log-determinant computation through stochastic Chebyshev expansions. | Insu Han, Dmitry Malioutov, Jinwoo Shin |
| 2014 | ICASSP | Iterative log thresholding. | Dmitry Malioutov, Aleksandr Y. Aravkin |
| 2014 | ICML | Convex Total Least Squares. | Dmitry Malioutov, Nikolai Slavov |
| 2006 | MMSP | Hybrid Distributed Video Coding Using SCA Codes. | Emin Martinian, Anthony Vetro, Jonathan S. Yedidia, Joo Ascenso, Ashish Khisti, Dmitry Malioutov |
| 2004 | ITW | Distributed source coding using serially-concatenated-accumulate codes. | Johnny Chen, Ashish Khisti, Dmitry Malioutov, Jonathan S. Yedidia |