Search Results for author: Warren Schudy

Found 2 papers, 0 papers with code

Stars: Tera-Scale Graph Building for Clustering and Graph Learning

no code implementations5 Dec 2022 CJ Carey, Jonathan Halcrow, Rajesh Jayaram, Vahab Mirrokni, Warren Schudy, Peilin Zhong

We evaluate the performance of Stars for clustering and graph learning, and demonstrate 10~1000-fold improvements in pairwise similarity comparisons compared to different baselines, and 2~10-fold improvement in running time without quality loss.

Graph Learning

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

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