| On robustness of principal component regression A Agarwal, D Shah, D Shen, D Song Advances in Neural Information Processing Systems 32, 2019 | 64 | 2019 |
| Blind regression: Nonparametric regression for latent variable models via collaborative filtering CE Lee, Y Li, D Shah, D Song Advances in Neural Information Processing Systems 29, 2155-2163, 2016 | 49 | 2016 |
| Sample efficient reinforcement learning via low-rank matrix estimation D Shah, D Song, Z Xu, Y Yang Advances in Neural Information Processing Systems 33, 2020 | 26 | 2020 |
| Nearest neighbors for matrix estimation interpreted as blind regression for latent variable model Y Li, D Shah, D Song, CL Yu IEEE Transactions on Information Theory 66 (3), 1760-1784, 2019 | 23* | 2019 |
| Learning RUMs: Reducing Mixture to Single Component via PCA D Shah, D Song arXiv preprint arXiv:1812.11917, 2018 | 11* | 2018 |
| Verifying start-up failures in coupled ring oscillators in presence of variability using predictive global optimization T Kim, DG Song, S Youn, J Park, H Park, J Kim 2013 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 486-493, 2013 | 6 | 2013 |
| On approximations of the PSD cone by a polynomial number of smaller-sized PSD cones D Song, PA Parrilo Mathematical Programming 198 (1), 733-785, 2023 | 5 | 2023 |
| Local Minima Structures in Gaussian Mixture Models Y Chen, D Song, X Xi, Y Zhang arXiv preprint arXiv:2009.13040, 2020 | 5 | 2020 |
| Discretization and discrimination methods for design, verification, and testing of analog/mixed-signal circuits J Kim, J Lee, DG Song, T Kim, KH Kim, S Jung, S Youn Proceedings of the IEEE 2013 Custom Integrated Circuits Conference, 1-8, 2013 | 3 | 2013 |
| A low-power high-radix switch fabric based on low-swing signaling and partially-activated input lines D Song, J Kim 2013 International Symposium onVLSI Design, Automation, and Test (VLSI-DAT), 1-4, 2013 | 3 | 2013 |
| Kronecker-structured covariance models for multiway data Y Wang, Z Sun, D Song, A Hero Statistic Surveys 16, 238-270, 2022 | 1 | 2022 |
| Robustness-Preserving Lifelong Learning Via Dataset Condensation J Jia, Y Zhang, D Song, S Liu, A Hero ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | | 2023 |
| Minimum-Risk Recalibration of Classifiers Z Sun, D Song, A Hero arXiv preprint arXiv:2305.10886, 2023 | | 2023 |
| Errors-in-variables Fr\'echet Regression with Low-rank Covariate Approximation K Han, D Song arXiv preprint arXiv:2305.09282, 2023 | | 2023 |
| On Kronecker Separability of Multiway Covariance D Song, AO Hero arXiv preprint arXiv:2302.02415, 2023 | | 2023 |
| On robustness of principal component regression A Agarwal, D Shah, D Shen, D Song Journal of the American Statistical Association, 1-34, 2021 | | 2021 |
| Addressing Missing Data and Scalable Optimization for Data-driven Decision Making D Song Massachusetts Institute of Technology, 2021 | | 2021 |
| Deconvolution with Unknown Error Distribution Interpreted as Blind Isotonic Regression D Shah, D Song arXiv preprint, arXiv: 1803.03469, 2018 | | 2018 |
Devavrat ShahMassachusetts Institute of TechnologyVerified email at mit.edu
