Rebecca C. Steorts

According to our database, Rebecca C. Steorts authored at least 21 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Transformed Fay-Herriot model with measurement error in covariates.

Sepideh Mosaferi, Malay Ghosh, Rebecca C. Steorts

Commun. Stat. Simul. Comput., May, 2023

A Primer on the Data Cleaning Pipeline.

Rebecca C. Steorts

CoRR, 2023

Bayesian Graphical Entity Resolution Using Exchangeable Random Partition Priors.

Neil G. Marchant, Benjamin I. P. Rubinstein, Rebecca C. Steorts

CoRR, 2023

On Computing the Jaro Similarity Between Two Strings.

Joyanta Basak, Ahmed Soliman, Nachiket Deo, Kenneth Haase, Anup Mathur, Krista Park, Rebecca C. Steorts, Daniel Weinberg, Sartaj Sahni, Sanguthevar Rajasekaran

Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023

Novel Blocking Techniques and Distance Metrics for Record Linkage.

Nachiket Deo, Joyanta Basak, Ahmed Soliman, Daniel Weinberg, Rebecca C. Steorts, Sanguthevar Rajasekaran

Proceedings of the Information Integration and Web Intelligence, 2023

2021

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

2020

(Almost) All of Entity Resolution.

Olivier Binette, Rebecca C. Steorts

CoRR, 2020

Bayesian Modeling for Simultaneous Regression and Record Linkage.

Jiurui Tang, Jerome P. Reiter, Rebecca C. Steorts

Proceedings of the Privacy in Statistical Databases, 2020

Probabilistic Blocking and Distributed Bayesian Entity Resolution.

Ted Enamorado, Rebecca C. Steorts

Proceedings of the Privacy in Statistical Databases, 2020

2018

Memories of Steve Fienberg.

Rebecca Carter Steorts

J. Priv. Confidentiality, 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

Posterior Prototyping: Bridging the Gap between Bayesian Record Linkage and Regression.

Andee Kaplan, Brenda Betancourt, Rebecca C. Steorts

CoRR, 2018

Generalized Bayesian Record Linkage and Regression with Exact Error Propagation.

Rebecca C. Steorts, Andrea Tancredi, Brunero Liseo

Proceedings of the Privacy in Statistical Databases, 2018

Probabilistic Blocking with an Application to the Syrian Conflict.

Rebecca C. Steorts, Anshumali Shrivastava

Proceedings of the Privacy in Statistical Databases, 2018

2017

Bayesian Learning of Dynamic Multilayer Networks.

Daniele Durante, Nabanita Mukherjee, Rebecca C. Steorts

J. Mach. Learn. Res., 2017

Unique Entity Estimation with Application to the Syrian Conflict.

Beidi Chen, Anshumali Shrivastava, Rebecca C. Steorts

CoRR, 2017

Performance Bounds for Graphical Record Linkage.

Rebecca C. Steorts, Matt Barnes, Willie Neiswanger

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Flexible Models for Microclustering with Application to Entity Resolution.

Brenda Betancourt, Giacomo Zanella, Jeffrey W. Miller, Hanna M. Wallach, Abbas Zaidi, Beka Steorts

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Blocking Methods Applied to Casualty Records from the Syrian Conflict.

Peter Sadosky, Anshumali Shrivastava, Megan Price, Rebecca C. Steorts

CoRR, 2015

2014

A Comparison of Blocking Methods for Record Linkage.

Rebecca C. Steorts, Samuel L. Ventura, Mauricio Sadinle, Stephen E. Fienberg

Proceedings of the Privacy in Statistical Databases, 2014

SMERED: A Bayesian Approach to Graphical Record Linkage and De-duplication.

Rebecca C. Steorts, Rob Hall, Stephen E. Fienberg

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014