10 citations · 20 across the 6 of their papers we have counts for
8 papers
Causal Matrix Completion
Anish Agarwal, Munther Dahleh, Devavrat Shah +1
Matrix completion is the study of recovering an underlying matrix from a sparse subset of noisy observations. Traditionally, it is assumed that the entries of the matrix are "missi…
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…
Zorro: A Model Agnostic System to Price Consumer Data
Anish Agarwal, Munther Dahleh, Devavrat Shah +3
Personal data is essential in showing users targeted ads - the economic backbone of the web. Still, there are major inefficiencies in how data is transacted online: (1) users don't…
A Marketplace for Data: An Algorithmic Solution
Anish Agarwal, Munther Dahleh, Tuhin Sarkar
In this work, we aim to design a data marketplace; a robust real-time matching mechanism to efficiently buy and sell training data for Machine Learning tasks. While the monetizatio…
Model Agnostic Time Series Analysis via Matrix Estimation
Anish Agarwal, Muhammad Jehangir Amjad, Devavrat Shah +1
We propose an algorithm to impute and forecast a time series by transforming the observed time series into a matrix, utilizing matrix estimation to recover missing values and de-no…