Cynthia Rudin

Duke University - Pratt School of Engineering

Associate Professor of Computer Science and Electrical and Computer Engineering

Durham, NC 27708

United States

Duke University

Associate Professor of Computer Science and Electrical and Computer Engineering

Department of Computer Science

LSRC Building

Durham, NC 27708-0204

United States

  • Duke University - Pratt School of Engineering

  • Duke University

SCHOLARLY PAPERS

5

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Top 18,190

in Total Papers Downloads

2,851

SSRN CITATIONS
Rank 37,993

SSRN RANKINGS

Top 37,993

in Total Papers Citations

12

CROSSREF CITATIONS

5

Scholarly Papers (5)

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1.

The Big Data Newsvendor: Practical Insights from Machine Learning

Published in Operations Research 67(1):90-108. https://doi.org/10.1287/opre.2018.1757
Number of pages: 55 Posted: 03 Feb 2015 Last Revised: 22 Aug 2019
Gah‐Yi Ban and Cynthia Rudin
London Business School and Duke University - Pratt School of Engineering
Downloads 2,011 (7,911)
Citation 21

Abstract:

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big data, newsvendor, machine learning, Sample Average Approximation, statistical learning theory, quantile regression

2.

A Hierarchical Model for Association Rule Mining of Sequential Events: An Approach to Automated Medical Symptom Prediction

MIT Sloan Research Paper
Number of pages: 19 Posted: 08 Jan 2011 Last Revised: 30 Jan 2011
Tyler McCormick, Cynthia Rudin and David Madigan
Columbia University - Department of Statistics, Duke University - Pratt School of Engineering and Columbia University - Department of Statistics
Downloads 332 (97,354)
Citation 6

Abstract:

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Hierarchical Bayesian Modeling, Association Rules, Medical Symptom Prediction

3.

Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application to Credit-Risk Evaluation

Number of pages: 19 Posted: 12 Jun 2019
Cynthia Rudin and Yaron Shaposhnik
Duke University - Pratt School of Engineering and University of Rochester - Simon Business School
Downloads 273 (120,283)

Abstract:

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Interpretability, Local models, Association rules, Explanations, Machine learning, Credit-risk

4.

A Learning Theory Framework for Association Rules and Sequential Events

Number of pages: 47 Posted: 21 Jun 2011
Cynthia Rudin, Benjamin Letham, Eugene Kogan and David Madigan
Duke University - Pratt School of Engineering, Massachusetts Institute of Technology (MIT), Sourcetone and Columbia University - Department of Statistics
Downloads 137 (225,913)

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5.

Simple Rules for Predicting Congestion Risk in Queueing Systems: Application to ICUs

Number of pages: 43 Posted: 15 May 2019 Last Revised: 23 Jun 2019
Fernanda Bravo, Cynthia Rudin, Yaron Shaposhnik and Yuting Yuan
University of California, Los Angeles (UCLA) - Anderson School of Management, Duke University - Pratt School of Engineering, University of Rochester - Simon Business School and University of Rochester - Simon Business School
Downloads 98 (287,988)

Abstract:

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Congestion; Queueing systems; Prediction; Service operation; Machine learning; Interpretability; ICU