Anish Agarwal

According to our database, Anish Agarwal authored at least 36 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Towards data auctions with externalities.

Anish Agarwal, Munther A. Dahleh, Thibaut Horel, Maryann Rui

Games Econ. Behav., 2024

Learning Counterfactual Distributions via Kernel Nearest Neighbors.

Kyuseong Choi, Jacob Feitelberg, Anish Agarwal, Raaz Dwivedi

CoRR, 2024

Distributional Matrix Completion via Nearest Neighbors in the Wasserstein Space.

Jacob Feitelberg, Kyuseong Choi, Anish Agarwal, Raaz Dwivedi

CoRR, 2024

Multi-Armed Bandits with Network Interference.

Abhineet Agarwal, Anish Agarwal, Lorenzo Masoero, Justin Whitehouse

CoRR, 2024

Doubly Robust Inference in Causal Latent Factor Models.

Alberto Abadie, Anish Agarwal, Raaz Dwivedi, Abhin Shah

CoRR, 2024

Strategyproof Decision-Making in Panel Data Settings and Beyond.

Keegan Harris, Anish Agarwal, Chara Podimata, Zhiwei Steven Wu

Proceedings of the Abstracts of the 2024 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2024

2023

Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration.

Dung Daniel T. Ngo, Keegan Harris, Anish Agarwal, Vasilis Syrgkanis, Zhiwei Steven Wu

CoRR, 2023

Estimating the Value of Evidence-Based Decision Making.

Alberto Abadie, Anish Agarwal, Guido Imbens, Siwei Jia, James McQueen, Serguei Stepaniants

CoRR, 2023

CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation.

Abdullah Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

Adaptive Principal Component Regression with Applications to Panel Data.

Anish Agarwal, Keegan Harris, Justin Whitehouse, Zhiwei Steven Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions.

Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Causal Matrix Completion.

Anish Agarwal, Munther A. Dahleh, Devavrat Shah, Dennis Shen

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Causal Inference for Social and Engineering Systems.

Anish Agarwal

SIGMETRICS Perform. Evaluation Rev., December, 2022

Causal Inference for Social and Engineering Systems

Anish Agarwal

PhD thesis, 2022

Network Synthetic Interventions: A Framework for Panel Data with Network Interference.

Anish Agarwal, Sarah H. Cen, Devavrat Shah, Christina Lee Yu

CoRR, 2022

Synthetic Blip Effects: Generalizing Synthetic Controls for the Dynamic Treatment Regime.

Anish Agarwal, Vasilis Syrgkanis

CoRR, 2022

CausalSim: Toward a Causal Data-Driven Simulator for Network Protocols.

Abdullah Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah

CoRR, 2022

On Multivariate Singular Spectrum Analysis and Its Variants.

Anish Agarwal, Abdullah Alomar, Devavrat Shah

Proceedings of the SIGMETRICS/PERFORMANCE '22: ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, Mumbai, India, June 6, 2022

Causal Imputation via Synthetic Interventions.

Chandler Squires, Dennis Shen, Anish Agarwal, Devavrat Shah, Caroline Uhler

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021

Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy.

Anish Agarwal, Rahul Singh

CoRR, 2021

PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators.

Anish Agarwal, Abdullah Alomar, Varkey Alumootil, Devavrat Shah, Dennis Shen, Zhi Xu, Cindy Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

On the Inefficiency of Forward Markets in Leader-Follower Competition.

Desmond W. H. Cai, Anish Agarwal, Adam Wierman

Oper. Res., 2020

On Principal Component Regression in a High-Dimensional Error-in-Variables Setting.

Anish Agarwal, Devavrat Shah, Dennis Shen

CoRR, 2020

On Multivariate Singular Spectrum Analysis.

Anish Agarwal, Abdullah Alomar, Devavrat Shah

CoRR, 2020

Synthetic Interventions.

Anish Agarwal, Abdullah Alomar, Romain Cosson, Devavrat Shah, Dennis Shen

CoRR, 2020

Two Burning Questions on COVID-19: Did shutting down the economy help? Can we (partially) reopen the economy without risking the second wave?

Anish Agarwal, Abdullah Alomar, Arnab Sarker, Devavrat Shah, Dennis Shen, Cindy Yang

CoRR, 2020

Augmented Q Imitation Learning (AQIL).

Xiao-Lei Zhang, Anish Agarwal

CoRR, 2020

tspDB: Time Series Predict DB.

Anish Agarwal, Abdullah Alomar, Devavrat Shah

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Single Image Super-Resolution using Residual Channel Attention Network.

Hritam Basak, Rohit Kundu, Anish Agarwal, Shreya Giri

Proceedings of the 15th IEEE International Conference on Industrial and Information Systems, 2020

2019

Zorro: A Model Agnostic System to Price Consumer Data.

Anish Agarwal, Munther A. Dahleh, Devavrat Shah, Dylan Sleeper, Andrew Tsai, Madeline Wong

CoRR, 2019

Model Agnostic High-Dimensional Error-in-Variable Regression.

Anish Agarwal, Devavrat Shah, Dennis Shen, Dogyoon Song

CoRR, 2019

On Robustness of Principal Component Regression.

Anish Agarwal, Devavrat Shah, Dennis Shen, Dogyoon Song

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Marketplace for Data: An Algorithmic Solution.

Anish Agarwal, Munther A. Dahleh, Tuhin Sarkar

Proceedings of the 2019 ACM Conference on Economics and Computation, 2019

2018

Model Agnostic Time Series Analysis via Matrix Estimation.

Anish Agarwal, Muhammad Jehangir Amjad, Devavrat Shah, Dennis Shen

Proc. ACM Meas. Anal. Comput. Syst., 2018

Time Series Analysis via Matrix Estimation.

Anish Agarwal, Muhammad Jehangir Amjad, Devavrat Shah, Dennis Shen

CoRR, 2018

2015

Online Convex Optimization Using Predictions.

Niangjun Chen, Anish Agarwal, Adam Wierman, Siddharth Barman, Lachlan L. H. Andrew

Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2015