22 citations · 91 across the 29 of their papers we have counts for
7 papers · 1 filter
Causal Imputation via Synthetic Interventions
Chandler Squires, Dennis Shen, Anish Agarwal +2
Consider the problem of determining the effect of a compound on a specific cell type. To answer this question, researchers traditionally need to run an experiment applying the drug…
On Model Identification and Out-of-Sample Prediction of Principal Component Regression: Applications to Synthetic Controls
Anish Agarwal, Devavrat Shah, Dennis Shen
We analyze principal component regression (PCR) in a high-dimensional error-in-variables setting with fixed design. Under suitable conditions, we show that PCR consistently identif…
On Multivariate Singular Spectrum Analysis: Tensor and Matrix Variants
Anish Agarwal, Abdullah Alomar, Devavrat Shah
We introduce and analyze two extensions of Singular Spectrum Analysis (SSA) to the multivariate setting: a new variant of the well-known matrix-based method (mSSA), and a novel ten…
Synthetic Interventions
Anish Agarwal, Devavrat Shah, Dennis Shen
The synthetic controls (SC) methodology is a prominent tool for policy evaluation in panel data applications. Researchers commonly justify the SC framework with a low-rank matrix f…
Two Burning Questions on COVID-19: Did shutting down the economy help? Can we (partially) reopen the economy without risking the second wave?
Anish Agarwal, Abdullah Alomar, Arnab Sarker +3
As we reach the apex of the COVID-19 pandemic, the most pressing question facing us is: can we even partially reopen the economy without risking a second wave? We first need to und…
Augmented Q Imitation Learning (AQIL)
Xiao Lei Zhang, Anish Agarwal
The study of unsupervised learning can be generally divided into two categories: imitation learning and reinforcement learning. In imitation learning the machine learns by mimickin…
Towards Data Auctions with Externalities
Anish Agarwal, Munther Dahleh, Thibaut Horel +1
The design of data markets has gained importance as firms increasingly use machine learning models fueled by externally acquired training data. A key consideration is the externali…