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07/03/2023
Adaptive Principal Component Regression with Applications to Panel Data
Principal component regression (PCR) is a popular technique for fixed-de...
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06/21/2023
Estimating the Value of Evidence-Based Decision Making
Business/policy decisions are often based on evidence from randomized ex...
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03/24/2023
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions
We consider a setting with N heterogeneous units and p interventions. Ou...
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11/25/2022
Strategyproof Decision-Making in Panel Data Settings and Beyond
We propose a framework for decision-making in the presence of strategic ...
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10/20/2022
Network Synthetic Interventions: A Framework for Panel Data with Network Interference
We propose a generalization of the synthetic controls and synthetic inte...
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10/20/2022
Synthetic Blip Effects: Generalizing Synthetic Controls for the Dynamic Treatment Regime
We propose a generalization of the synthetic control and synthetic inter...
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01/05/2022
CausalSim: Unbiased Trace-Driven Network Simulation
Evaluating the real-world performance of network protocols is challengin...
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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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07/06/2021
Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy
Even the most carefully curated economic data sets have variables that 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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06/24/2020
On Multivariate Singular Spectrum Analysis
We analyze a variant of multivariate singular spectrum analysis (mSSA), ...
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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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03/31/2020
Augmented Q Imitation Learning (AQIL)
The study of unsupervised learning can be generally divided into two cat...
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03/18/2020
Towards Data Auctions with Externalities
The design of data markets has gained in importance as firms increasingl...
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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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05/21/2018
A Marketplace for Data: An Algorithmic Solution
In this work, we aim to create a data marketplace; a robust real-time ma...
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02/25/2018
