10 citations · 20 across the 8 of their papers we have counts for
5 papers · 1 filter
Multi-Armed Bandits with Network Interference
Abhineet Agarwal, Anish Agarwal, Lorenzo Masoero +1
Online experimentation with interference is a common challenge in modern applications such as e-commerce and adaptive clinical trials in medicine. For example, in online marketplac…
Adaptive Principal Component Regression with Applications to Panel Data
Anish Agarwal, Keegan Harris, Justin Whitehouse +1
Principal component regression (PCR) is a popular technique for fixed-design error-in-variables regression, a generalization of the linear regression setting in which the observed…
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…
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…
Online Convex Optimization Using Predictions
Niangjun Chen, Anish Agarwal, Adam Wierman +2
Making use of predictions is a crucial, but under-explored, area of online algorithms. This paper studies a class of online optimization problems where we have external noisy predi…