Anish Agarwal
Anish Agarwal
Amazon Core AI
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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
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
On Robustness of Principal Component Regression
A Agarwal, D Shah, D Shen, D Song
Journal of the American Statistical Association, 1-34, 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
Synthetic Interventions
A Agarwal, D Shah, D Shen
arXiv preprint arXiv:2006.07691, 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
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
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
Causal matrix completion
A Agarwal, M Dahleh, D Shah, D Shen
arXiv preprint arXiv:2109.15154, 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
On multivariate singular spectrum analysis and its variants
A Agarwal, A Alomar, D Shah
ACM SIGMETRICS Performance Evaluation Review 50 (1), 79-80, 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
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
Towards data auctions with externalities
A Agarwal, M Dahleh, T Horel, M Rui
arXiv preprint arXiv:2003.08345, 2020
Causal inference with corrupted data: Measurement error, missing values, discretization, and differential privacy
A Agarwal, R Singh
arXiv preprint arXiv:2107.02780, 2021
On the Inefficiency of Forward Markets in Leader–Follower Competition
D Cai, A Agarwal, A Wierman
Operations Research 68 (1), 35-52, 2020
tspdb: Time series predict db
A Agarwal, A Alomar, D Shah
NeurIPS 2020 Competition and Demonstration Track, 27-56, 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
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
Synthetic blip effects: Generalizing synthetic controls for the dynamic treatment regime
A Agarwal, V Syrgkanis
arXiv preprint arXiv:2210.11003, 2022
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