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(Almost) All of Entity Resolution
Whether the goal is to estimate the number of people that live in a cong...
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Random Partition Models for Microclustering Tasks
Traditional Bayesian random partition models assume that the size of eac...
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d-blink: Distributed End-to-End Bayesian Entity Resolution
Entity resolution (ER) (record linkage or de-duplication) is the process...
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Probabilistic Blocking with An Application to the Syrian Conflict
Entity resolution seeks to merge databases as to remove duplicate entrie...
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Generalized Bayesian Record Linkage and Regression with Exact Error Propagation
Record linkage (de-duplication or entity resolution) is the process of m...
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Posterior Prototyping: Bridging the Gap between Bayesian Record Linkage and Regression
Record linkage (entity resolution or de-deduplication) is the process of...
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Unique Entity Estimation with Application to the Syrian Conflict
Entity resolution identifies and removes duplicate entities in large, no...
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Performance Bounds for Graphical Record Linkage
Record linkage involves merging records in large, noisy databases to rem...
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Flexible Models for Microclustering with Application to Entity Resolution
Most generative models for clustering implicitly assume that the number ...
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Bayesian Learning of Dynamic Multilayer Networks
A plethora of networks is being collected in a growing number of fields,...
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Microclustering: When the Cluster Sizes Grow Sublinearly with the Size of the Data Set
Most generative models for clustering implicitly assume that the number ...
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Variational Bayes for Merging Noisy Databases
Bayesian entity resolution merges together multiple, noisy databases and...
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