BEER: Blocking for Effective Entity Resolution
Learning to Generate Fair Clusters from Demonstrations
Balancing the Tradeoff Between Clustering Value and Interpretability
Semantic Search over Structured Data
Automated Feature Enhancement for Predictive Modeling using External Knowledge
Connectivity of Random Annulus Graphs and the Geometric Block Model
Crowd-Sourced Entity Resolution with Control Queries