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Anish Agarwal

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Doubly Robust Inference in Causal Latent Factor Models

Feb 18, 2024
Alberto Abadie, Anish Agarwal, Raaz Dwivedi, Abhin Shah

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

Dec 26, 2023
Daniel Ngo, Keegan Harris, Anish Agarwal, Vasilis Syrgkanis, Zhiwei Steven Wu

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Adaptive Principal Component Regression with Applications to Panel Data

Jul 03, 2023
Anish Agarwal, Keegan Harris, Justin Whitehouse, Zhiwei Steven Wu

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Estimating the Value of Evidence-Based Decision Making

Jun 21, 2023
Alberto Abadie, Anish Agarwal, Guido Imbens, Siwei Jia, James McQueen, Serguei Stepaniants

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Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions

Mar 24, 2023
Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar

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Strategyproof Decision-Making in Panel Data Settings and Beyond

Nov 25, 2022
Keegan Harris, Anish Agarwal, Chara Podimata, Zhiwei Steven Wu

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

Oct 20, 2022
Anish Agarwal, Sarah Cen, Devavrat Shah, Christina Lee Yu

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

Jan 05, 2022
Abdullah Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah

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Causal Matrix Completion

Sep 30, 2021
Anish Agarwal, Munther Dahleh, Devavrat Shah, Dennis Shen

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

Jul 06, 2021
Anish Agarwal, Rahul Singh

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