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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

* 99 pages 

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


Mar 17, 2021
Anish Agarwal, Abdullah Alomar, Varkey Alumootil, Devavrat Shah, Dennis Shen, Zhi Xu, Cindy Yang


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


Oct 27, 2020
Anish Agarwal, Devavrat Shah, Dennis Shen


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On Multivariate Singular Spectrum Analysis


Jun 24, 2020
Anish Agarwal, Abdullah Alomar, Devavrat Shah


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Synthetic Interventions


Jun 13, 2020
Anish Agarwal, Abdullah Alomar, Romain Cosson, Devavrat Shah, Dennis Shen


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


May 10, 2020
Anish Agarwal, Abdullah Alomar, Arnab Sarker, Devavrat Shah, Dennis Shen, Cindy Yang


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