Cynthia Rudin

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

Associate Professor of Computer Science and Electrical and Computer Engineering

Durham, NC 27708

United States

SCHOLARLY PAPERS

6

DOWNLOADS
Rank 17,047

SSRN RANKINGS

Top 17,047

in Total Papers Downloads

4,177

SSRN CITATIONS
Rank 25,231

SSRN RANKINGS

Top 25,231

in Total Papers Citations

33

CROSSREF CITATIONS

4

Scholarly Papers (6)

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, Cynthia Rudin and Cynthia Rudin
Robert H. Smith School of Business, University of Maryland and Duke UniversityDuke University - Pratt School of Engineering
Downloads 2,703 (6,869)
Citation 35

Abstract:

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

2.

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, Cynthia Rudin and Yaron Shaposhnik
Duke UniversityDuke University - Pratt School of Engineering and University of Rochester - Simon Business School
Downloads 705 (51,322)
Citation 1

Abstract:

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

3.

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, Cynthia Rudin and David Madigan
Columbia University - Department of Statistics, Duke UniversityDuke University - Pratt School of Engineering and Columbia University - Department of Statistics
Downloads 399 (103,388)
Citation 11

Abstract:

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Hierarchical Bayesian Modeling, Association Rules, Medical Symptom Prediction

4.

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

Number of pages: 50 Posted: 15 May 2019 Last Revised: 07 Aug 2020
Fernanda Bravo, Cynthia Rudin, Cynthia Rudin, Yaron Shaposhnik and Yuting Yuan
University of California, Los Angeles (UCLA) - Anderson School of Management, Duke UniversityDuke University - Pratt School of Engineering, University of Rochester - Simon Business School and University of Rochester - Simon Business School
Downloads 220 (191,759)

Abstract:

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

5.

A Learning Theory Framework for Association Rules and Sequential Events

Number of pages: 47 Posted: 21 Jun 2011
Cynthia Rudin, Cynthia Rudin, Benjamin Letham, Eugene Kogan and David Madigan
Duke UniversityDuke University - Pratt School of Engineering, Massachusetts Institute of Technology (MIT), Sourcetone and Columbia University - Department of Statistics
Downloads 144 (276,489)
Citation 1

Abstract:

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6.

Why Interpretable Causal Inference is Important for High-Stakes Medical Decision Making in Neurology and How to Do it

Number of pages: 31 Posted: 25 Mar 2022
Duke University, University of North Carolina (UNC) at Chapel Hill - Department of Statistics, Harvard University - Massachusetts General Hospital, Harvard University - Massachusetts General Hospital, Harvard University - Massachusetts General Hospital, Harvard University, Harvard University - Massachusetts General Hospital, Harvard University - Massachusetts General Hospital, University of Wisconsin-Madison, Duke University, Duke UniversityDuke University - Pratt School of Engineering and Harvard University - Massachusetts General Hospital
Downloads 6 (818,462)

Abstract:

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Interpretability, Causal Inference, Machine Learning, Seizures, Critical Care, Epileptiform Activity