| 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 | 156 | 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 | 86 | 2015 |
| On Robustness of Principal Component Regression A Agarwal, D Shah, D Shen, D Song Journal of the American Statistical Association, 1-34, 2021 | 53 | 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 | 48* | 2018 |
| Synthetic Interventions A Agarwal, D Shah, D Shen arXiv preprint arXiv:2006.07691, 2020 | 29 | 2020 |
| 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 | 20 | 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 | 19 | 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 | 13 | 2015 |
| Causal matrix completion A Agarwal, M Dahleh, D Shah, D Shen arXiv preprint arXiv:2109.15154, 2021 | 12 | 2021 |
| Causal imputation via synthetic interventions C Squires, D Shen, A Agarwal, D Shah, C Uhler Conference on Causal Learning and Reasoning, 688-711, 2022 | 11 | 2022 |
| On multivariate singular spectrum analysis and its variants A Agarwal, A Alomar, D Shah ACM SIGMETRICS Performance Evaluation Review 50 (1), 79-80, 2022 | 11* | 2022 |
| On principal component regression in a high-dimensional error-in-variables setting A Agarwal, D Shah, D Shen arXiv preprint arXiv:2010.14449, 2020 | 10 | 2020 |
| 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 | 9 | 2021 |
| Towards data auctions with externalities A Agarwal, M Dahleh, T Horel, M Rui arXiv preprint arXiv:2003.08345, 2020 | 9 | 2020 |
| Causal inference with corrupted data: Measurement error, missing values, discretization, and differential privacy A Agarwal, R Singh arXiv preprint arXiv:2107.02780, 2021 | 7 | 2021 |
| On the Inefficiency of Forward Markets in Leader–Follower Competition D Cai, A Agarwal, A Wierman Operations Research 68 (1), 35-52, 2020 | 5 | 2020 |
| tspdb: Time series predict db A Agarwal, A Alomar, D Shah NeurIPS 2020 Competition and Demonstration Track, 27-56, 2021 | 4 | 2021 |
| Causalsim: Toward a causal data-driven simulator for network protocols A Alomar, P Hamadanian, A Nasr-Esfahany, A Agarwal, M Alizadeh, ... arXiv preprint arXiv:2201.01811, 2022 | 2 | 2022 |
| Network Synthetic Interventions: A Framework for Panel Data with Network Interference A Agarwal, S Cen, D Shah, CL Yu arXiv preprint arXiv:2210.11355, 2022 | 1 | 2022 |
| Synthetic blip effects: Generalizing synthetic controls for the dynamic treatment regime A Agarwal, V Syrgkanis arXiv preprint arXiv:2210.11003, 2022 | 1 | 2022 |
Devavrat ShahMassachusetts Institute of TechnologyVerified email at mit.edu
