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

  • Duke University

  • Duke University - Pratt School of Engineering

SCHOLARLY PAPERS

6

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Top 17,047

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4,177

SSRN CITATIONS
Rank 25,231

SSRN RANKINGS

Top 25,231

in Total Papers Citations

33

CROSSREF CITATIONS

4

Scholarly Papers (6)

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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, 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

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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

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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)

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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

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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
Harsh Parikh, Kentaro Hoffman, Haoqi Sun, Wendong Ge, Jin Jing, Lin Liu, Jimeng Sun, Sahar F. Zafar, Aaron F. Struck, Alexander Volfovksy, Cynthia Rudin, Cynthia Rudin and M. Brandon Westover
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