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09/30/2021
Causal Matrix Completion
Matrix completion is the study of recovering an underlying matrix from a...
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02/13/2021
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators
We consider offline reinforcement learning (RL) with heterogeneous agent...
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11/05/2020
Causal Imputation via Synthetic Interventions
Consider the problem of determining the effect of a drug on a specific c...
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10/27/2020
On Principal Component Regression in a High-Dimensional Error-in-Variables Setting
We analyze the classical method of Principal Component Regression (PCR) ...
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06/13/2020
Synthetic Interventions
We develop a method to help quantify the impact different levels of mobi...
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04/30/2020
Two Burning Questions on COVID-19: Did shutting down the economy help? Can we (partially) reopen the economy without risking the second wave?
As we reach the apex of the COVID-19 pandemic, the most pressing questio...
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05/15/2019
mRSC: Multi-dimensional Robust Synthetic Control
When evaluating the impact of a policy on a metric of interest, it may n...
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02/28/2019
Model Agnostic High-Dimensional Error-in-Variable Regression
We consider the problem of high-dimensional error-in-variable regression...
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02/25/2018
Time Series Analysis via Matrix Estimation
We consider the task of interpolating and forecasting a time series in t...
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11/18/2017