| Robust synthetic control M Amjad, D Shah, D Shen Journal of Machine Learning Research 19 (22), 1-51, 2018 | 190 | 2018 |
| On robustness of principal component regression A Agarwal, D Shah, D Shen, D Song Journal of the American Statistical Association, 1-34, 2021 | 102 | 2021 |
| Model agnostic time series analysis via matrix estimation A Agarwal, MJ Amjad, D Shah, D Shen Proceedings of the ACM on Measurement and Analysis of Computing Systems 2 (3 …, 2018 | 64* | 2018 |
| Synthetic interventions A Agarwal, D Shah, D Shen arXiv preprint arXiv:2006.07691, 2020 | 61 | 2020 |
| Causal matrix completion A Agarwal, M Dahleh, D Shah, D Shen The thirty sixth annual conference on learning theory, 3821-3826, 2023 | 56 | 2023 |
| mrsc: Multi-dimensional robust synthetic control M Amjad, V Misra, D Shah, D Shen Proceedings of the ACM on Measurement and Analysis of Computing Systems 3 (2 …, 2019 | 49 | 2019 |
| Two Burning Questions on COVID-19: Did shutting down the economy help? Can we (partially) reopen the economy without risking the second wave? A Agarwal, A Alomar, A Sarker, D Shah, D Shen, C Yang arXiv preprint arXiv:2005.00072, 2020 | 26 | 2020 |
| Causal imputation via synthetic interventions C Squires, D Shen, A Agarwal, D Shah, C Uhler Conference on Causal Learning and Reasoning, 688-711, 2022 | 25 | 2022 |
| Persim: Data-efficient offline reinforcement learning with heterogeneous agents via personalized simulators A Agarwal, A Alomar, V Alumootil, D Shah, D Shen, Z Xu, C Yang Advances in Neural Information Processing Systems 34, 18564-18576, 2021 | 23 | 2021 |
| Adaptive control of COVID-19 outbreaks in India: Local, gradual, and trigger-based exit paths from lockdown A Malani, S Soman, S Asher, P Novosad, C Imbert, V Tandel, A Agarwal, ... National Bureau of Economic Research, 2020 | 22 | 2020 |
| On Model Identification and Out-of-Sample Prediction of Principal Component Regression: Applications to Synthetic Controls A Agarwal, D Shah, D Shen arXiv preprint arXiv:2010.14449, 2022 | 18* | 2022 |
| Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data D Shen, P Ding, J Sekhon, B Yu Econometrica 91 (6), 2023 | 15* | 2023 |
| Public health implications of opening National Football League stadiums during the COVID-19 pandemic B García Bulle, D Shen, D Shah, AE Hosoi Proceedings of the National Academy of Sciences 119 (14), e2114226119, 2022 | 8 | 2022 |
| Algebraic and Statistical Properties of the Ordinary Least Squares Interpolator D Shen, D Song, P Ding, JS Sekhon arXiv preprint arXiv:2309.15769, 2023 | 3 | 2023 |
| Personalized Predictions from Population Level Experiments: A Study on Alzheimer's Disease D Shen, A Agarwal, V Misra, B Schelter, D Shah, H Shiells, C Wischik arXiv preprint arXiv:2405.20088, 2024 | 1 | 2024 |
| Algebraic and Statistical Properties of the Partially Regularized Ordinary Least Squares Interpolator L Yang, D Shen arXiv preprint arXiv:2411.06593, 2024 | | 2024 |
| Model agnostic time series analysis via matrix estimation DD Shah, A Agarwal, M Amjad, D Shen US Patent 11,775,608, 2023 | | 2023 |
| Systems and methods for synthetic interventions D Shen, DD Shah, A Agarwal US Patent App. 17/658,712, 2022 | | 2022 |
Devavrat ShahMassachusetts Institute of TechnologyVerified email at mit.edu
