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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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Augmented Q Imitation Learning (AQIL)


Apr 05, 2020
Xiao Lei Zhang, Anish Agarwal

* 5 pages 

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Model Agnostic High-Dimensional Error-in-Variable Regression


Mar 12, 2019
Anish Agarwal, Devavrat Shah, Dennis Shen, Dogyoon Song

* 51 pages 

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Time Series Analysis via Matrix Estimation


Aug 24, 2018
Anish Agarwal, Muhammad Jehangir Amjad, Devavrat Shah, Dennis Shen


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Online Convex Optimization Using Predictions


Apr 25, 2015
Niangjun Chen, Anish Agarwal, Adam Wierman, Siddharth Barman, Lachlan L. H. Andrew

* 30 pages 

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