Rebecca C. Steorts — accepted AI-conference papers

2017

Performance Bounds for Graphical Record Linkage

Rebecca C. Steorts, Mattew Barnes, Willie Neiswanger

AISTATS 2017poster

Record linkage involves merging records in large, noisy databases to remove duplicate entities. It has become an important area because of its widespread occurrence in bibliometrics, public health, official statistics production, political science, and beyond. Traditional linkage methods directly…

Cited by 10 Source ↗PDF ↗Scholar ↗

2016

Flexible Models for Microclustering with Application to Entity Resolution

Brenda Betancourt, Giacomo Zanella, Jeffrey W Miller, Hanna Wallach, Abbas Zaidi, Rebecca C. Steorts

NeurIPS 2016poster

Most generative models for clustering implicitly assume that the number of data points in each cluster grows linearly with the total number of data points. Finite mixture models, Dirichlet process mixture models, and Pitman--Yor process mixture models make this assumption, as do all other infinitely…

Cited by 60 Source ↗PDF ↗Scholar ↗