| A Marketplace for Data: An Algorithmic Solution A Agarwal, M Dahleh, T Sarkar Proceedings of the 20th ACM Conference on Economics and Computation, 701-726, 2019 | 80 | 2019 |
| Online Convex Optimization using Predictions N Chen, A Agarwal, A Wierman, S Barman, LLH Andrew Proceedings of the 2015 ACM SIGMETRICS International Conference on …, 2015 | 70 | 2015 |
| 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 | 29* | 2018 |
| On Robustness of Principal Component Regression A Agarwal, D Shah, D Shen, D Song Journal of the American Statistical Association, 1-34, 2021 | 19 | 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 | 16 | 2020 |
| 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 | 12 | 2020 |
| A Model for Residential Adoption of Photovoltaic Systems A Agarwal, D Cai, S Shah, M Chandy, R Sherick 2015 IEEE Power & Energy Society General Meeting, 1-5, 2015 | 11 | 2015 |
| Synthetic Interventions A Agarwal, D Shah, D Shen arXiv preprint arXiv:2006.07691, 2020 | 9 | 2020 |
| On Principal Component Regression in a High-Dimensional Error-in-Variables Setting A Agarwal, D Shah, D Shen arXiv preprint arXiv:2010.14449, 2020 | 3 | 2020 |
| Causal Imputation via Synthetic Interventions C Squires, D Shen, A Agarwal, D Shah, C Uhler arXiv preprint arXiv:2011.03127, 2020 | 2 | 2020 |
| tspdb: Time series predict db A Agarwal, A Alomar, D Shah NeurIPS 2020 Competition and Demonstration Track, 27-56, 2021 | 1 | 2021 |
| Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy A Agarwal, R Singh arXiv preprint arXiv:2107.02780, 2021 | 1 | 2021 |
| On Multivariate Singular Spectrum Analysis and its Variants A Agarwal, A Alomar, D Shah arXiv preprint arXiv:2006.13448, 2020 | 1* | 2020 |
| Towards Data Auctions with Externalities A Agarwal, M Dahleh, T Horel, M Rui arXiv preprint arXiv:2003.08345, 2020 | 1 | 2020 |
| On the Inefficiency of Forward Markets in Leader–Follower Competition D Cai, A Agarwal, A Wierman Operations Research 68 (1), 35-52, 2020 | 1 | 2020 |
| Causal Matrix Completion A Agarwal, M Dahleh, D Shah, D Shen arXiv preprint arXiv:2109.15154, 2021 | | 2021 |
| 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 arXiv preprint arXiv:2102.06961, 2021 | | 2021 |
| Zorro: A Model Agnostic System to Price Consumer Data A Agarwal, M Dahleh, D Shah, D Sleeper, A Tsai, M Wong arXiv preprint arXiv:1906.02420, 2019 | | 2019 |
Devavrat ShahMassachusetts Institute of TechnologyVerified email at mit.edu
