Variance Reduction in Bipartite Experiments through Correlation Clustering

no code implementations • NeurIPS 2019 • Jean Pouget-Abadie, Kevin Aydin, Warren Schudy, Kay Brodersen, Vahab Mirrokni

This paper introduces a novel clustering objective and a corresponding algorithm that partitions a bipartite graph so as to maximize the statistical power of a bipartite experiment on that graph.

Causal Inference Clustering