SMERED: A Bayesian Approach to Graphical Record Linkage and De-duplication. - Rebecca C. Steorts; Rob Hall 001; Stephen E. Fienberg (AISTATS, 2014)

A Comparison of Blocking Methods for Record Linkage. - Rebecca C. Steorts; Samuel L. Ventura; Mauricio Sadinle; Stephen E. Fienberg (Privacy in Statistical Databases, 2014)

Blocking Methods Applied to Casualty Records from the Syrian Conflict. - Peter Sadosky; Anshumali Shrivastava; Megan Price; Rebecca C. Steorts (CoRR, 2015)

Flexible Models for Microclustering with Application to Entity Resolution. - Brenda Betancourt; Giacomo Zanella; Jeffrey W. Miller; Hanna M. Wallach; Abbas Zaidi; Beka Steorts (NIPS, 2016)

Performance Bounds for Graphical Record Linkage. - Rebecca C. Steorts; Matt Barnes 001; Willie Neiswanger (AISTATS, 2017)

Unique Entity Estimation with Application to the Syrian Conflict. - Beidi Chen; Anshumali Shrivastava; Rebecca C. Steorts (CoRR, 2017)

Bayesian Learning of Dynamic Multilayer Networks. - Daniele Durante; Nabanita Mukherjee; Rebecca C. Steorts (J. Mach. Learn. Res., 2017)

Probabilistic Blocking with an Application to the Syrian Conflict. - Rebecca C. Steorts; Anshumali Shrivastava (PSD, 2018)

Generalized Bayesian Record Linkage and Regression with Exact Error Propagation. - Rebecca C. Steorts; Andrea Tancredi; Brunero Liseo (PSD, 2018)

Posterior Prototyping: Bridging the Gap between Bayesian Record Linkage and Regression. - Andee Kaplan; Brenda Betancourt; Rebecca C. Steorts (CoRR, 2018)

A Privacy Preserving Algorithm to Release Sparse High-dimensional Histograms. - Bai Li; Vishesh Karwa; Aleksandra B. Slavkovic; Rebecca Carter Steorts (J. Priv. Confidentiality, 2018)

Memories of Steve Fienberg. - Rebecca Carter Steorts (J. Priv. Confidentiality, 2018)

Probabilistic Blocking and Distributed Bayesian Entity Resolution. - Ted Enamorado; Rebecca C. Steorts (PSD, 2020)

Bayesian Modeling for Simultaneous Regression and Record Linkage. - Jiurui Tang; Jerome P. Reiter; Rebecca C. Steorts (PSD, 2020)

(Almost) All of Entity Resolution. - Olivier Binette; Rebecca C. Steorts (CoRR, 2020)

d-blink: Distributed End-to-End Bayesian Entity Resolution. - Neil G. Marchant; Andee Kaplan; Daniel N. Elazar; Benjamin I. P. Rubinstein; Rebecca C. Steorts (J. Comput. Graph. Stat., 2021)

Novel Blocking Techniques and Distance Metrics for Record Linkage. - Nachiket Deo; Joyanta Basak; Ahmed Soliman 003; Daniel Weinberg; Rebecca C. Steorts; Sanguthevar Rajasekaran (iiWAS, 2023)

On Computing the Jaro Similarity Between Two Strings. - Joyanta Basak; Ahmed Soliman 003; Nachiket Deo; Kenneth Haase; Anup Mathur; Krista Park; Rebecca C. Steorts; Daniel Weinberg; Sartaj Sahni; Sanguthevar Rajasekaran (ISBRA, 2023)

Bayesian Graphical Entity Resolution Using Exchangeable Random Partition Priors. - Neil G. Marchant; Benjamin I. P. Rubinstein; Rebecca C. Steorts (CoRR, 2023)

A Primer on the Data Cleaning Pipeline. - Rebecca C. Steorts (CoRR, 2023)

Transformed Fay-Herriot model with measurement error in covariates. - Sepideh Mosaferi; Malay Ghosh; Rebecca C. Steorts (Commun. Stat. Simul. Comput., 2023)