2020
A/B Testing in Dense Large-Scale Networks: Design and Inference
NeurIPS 2020spotlight
Design of experiments and estimation of treatment effects in large-scale networks, in the presence of strong interference, is a challenging and important problem. Most existing methods' performance deteriorates as the density of the network increases. In this paper, we present a novel strategy for a…