Cynthia Rudin

Associate Professor of Statistics

Biography | Selected Publications

"Generalization Bounds for Learning with Linear, Polygonal, Quadratic and Conic Side Knowledge." Tulabandhula, Theja and Cynthia Rudin. Machine Learning Vol. 100, No. 2 (2015): 183-216. (2015)

"Falling Rule Lists." Fulton Wang and Cynthia Rudin. In Proceedings of the 18th International Conference on Artificial Intelligence and Statistics 2015, edited by Guy Lebanon and Swaminathan Vishwanathan. San Diego, CA: May 2015.

"Bayesian Or's of And's for Interpretable Classification with Application to Context Aware Recommender Systems." Wang, Tong, Cynthia Rudin, Finale Doshi, Erica Klampfl and Perry MacNeile, Working Paper. April 2015.

"Modeling Recovery Curves With Application to Prostatectomy." Wang, Fulton, Tyler McCormick, Cynthia Rudin and John Gore, MIT Sloan Working Paper 5085-14. April 2015.

"Reactive Point Processes: A New Approach to Predicting Power Failures in Underground Electrical Systems." Ertekin, Seyda, Cynthia Rudin and Tyler H. McCormick. Annals of Applied Statistics Vol. 9, No. 1 (2015): 122-144. (2015)

"The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification." Been Kim, Cynthia Rudin and Julie Shah. In Advances in Neural Information Processing Systems 27, edited by Zoubin Ghahramani, Max Welling, Corinna Cortes, Neil D. Lawrence and Kilian Q. Weinberger. Montreal, Canada: December 2014.

"Methods and Models for Interpretable Linear Classification." Ustun, Berk and Cynthia Rudin, Working Paper. October 2014.

"On Combining Machine Learning with Decision Making." Tulabandhula, Theja and Cynthia Rudin. Machine Learning Vol. 93, No. 1 (2014): 33-64. (2014)

"Approximating the Crowd." Ertekin, Seyda, Cynthia Rudin and Haym Hirsh. Data Mining and Knowledge Discovery Vol. 28, No. 5 (2014): 1189-1221. (2014)

"Learning About Meetings." Kim, Been and Cynthia Rudin. Data Mining and Knowledge Discovery Vol. 28, No. 5 (2014): 1134-1157. (2014)

"Box Drawings for Learning with Imbalanced Data." Siong Thye Goh and Cynthia Rudin. In Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, edited by Jing Gao and Xiang Zhang. New York, NY: August 2014.

"Robust Optimization Using Machine Learning for Uncertainty Sets." Tulabandhula, Theja and Cynthia Rudin, Working Paper. July 2014.

"Analytics for Power Grid Distribution Reliability in New York City." Rudin, Cynthia, Seyda Ertekin, Rebecca Passonneau, Axinia Radeva, Ashish Tomar, Boyi Xie, Stanley Lewis, Mark Riddle, Debbie Pangsrivinij and Tyler McCormick. Interfaces Vol. 44, No. 4 (2014): 364-383. (2014)

"Tire Changes, Fresh Air, and Yellow Flags: Challenges in Predictive Analytics for Professional Racing." Tulabandhula, Theja and Cynthia Rudin. Big Data Vol. 2, No. 2 (2014): 97-112. (2014)

"Modeling Weather Impact on a Secondary Electrical Grid." Dingquan Wang, Rebecca J. Passonneau, Michael Collins and Cynthia Rudin. In Proceedings of the 4th International Conference on Sustainable Energy Information Technology (SEIT-2014), edited by Wayne Groszko and Ansar-Ul-Haque Yassar. Hasselt, Belgium: June 2014.

"Discovery with Data: Leveraging Statistics with Computer Science to Transform Science and Society." Cynthia Rudin, David Dunson, Rafael Irizarry Hongai Ji, Eric Laber, Jeffrey Leek, Tyler McCormick, Sherri Rose, Chad Schafer, Mark van der Laan, Larry Wasserman and Lingzhou Xue.  (2014)

"Finding Patterns with a Rotten Core: Data Mining for Crime Series with Core Sets." Wang, Tong, Cynthia Rudin, Daniel Wagner and Rich Sevieri, MIT Sloan Working Paper 5073-14. May 2014.

"Towards a Theory of Pattern Discovery." Jonathan Higgins and Cynthia Rudin. In Proceedings of the 2014 Society for Industrial and Applied Mathematics Conference on Data Mining, edited by Mohammed Zaki, Zoran Obradovic, Pang Ning Tan, Arindam Banerjee, Chandrika Kamath and Srinivasan Parthasarathy. Philadelphia, PA: April 2014.

"Machine Learning for Science and Society." Rudin, Cynthia and Kiri L. Wagstaff. Machine Learning Vol. 95, No. 1 (2014): 1-9 (2014)

"Generalized Bounds for Learning with Linear and Quadratic Side Knowledge." Theja Tulabandhula and Cynthia Rudin. In Proceedings of the International Symposium on Artificial Intelligence and Mathematics 2014, edited by Lisa Hellerstein and György Turán. Fort Lauderdale, FL: January 2014.

"Robust Optimization using Machine Learning for Uncertainty Sets." Theja Tulabandhula and Cynthia Rudin. In Proceedings of the International Symposium on Artificial Intelligence and Mathematics 2014, edited by Lisa Hellerstein and György Turán. Fort Lauderdale, FL: January 2014.

"An Interpretable Classifiers Using Rules and Bayesian Analysis: Building a Better Stroke Prediction Model." Letham, Benjamin, Cynthia Rudin, Tyler H. McCormick and David Madigan, MIT Sloan Working Paper 5040-13. November 2013.

"Growing a List." Letham, Benjamin, Cynthia Rudin and Katherine A. Heller. Data Mining Knowledge Discovery Vol. 27, No. 3 (2013): 372-395. (2013)

"Learning Theory Analysis for Association Rules and Sequential Event Prediction." Rudin, Cynthia, Benjamin Letham and David Madigan. Journal of Machine Learning Research Vol. 14 (2013): 3441-3492. (2013)

Sequential Event Prediction. Lethan, Benjamin and Cynthia Rudin. Machine Learning Vol. 93, No. 2 (2013): 357-380. (2013)

"Learning to Detect Patterns of Crime." Tong Wang, Cynthia Rudin, Daniel Wagner and Richard Sevieri. In Machine Learning and Knowledge Discovery in Databases: Proceedings of the European Conference ECML PKDD 2014, edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen and Filip Zelezny. Prague, Czech Republic: September 2013.

"The Rate of Convergence of AdaBoost." Mukherjee, Indraneel, Cynthia Rudin and Robert E. Schapire. Journal of Machine Learning Research Vol. 14 (2013): 2315-2347. (2013)

"Detecting Patterns of Crime with Series Finder." Tong Wang, Cynthia Rudin, Daniel Wagner and Richard Sevieri. In Proceedings of the 27th AAAI Conference on Artificial Intelligence, edited by Carol Hamilton. Bellevue, WA: July 2013.

"Predicting Power Failures with Reactive Point Processes." Seyda Ertekin, Cynthia Rudin and Tyler McCormick. In Proceedings of the 27th AAAI Conference on Artificial Intelligence, edited by Carol Hamilton. Bellevue, WA: July 2013.

"Machine Learning with Operational Costs." Tulabandhula, Theja and Cynthia Rudin. Journal of Machine Learning Research Vol. 14 (2013): 1989-2028. (2013)

"Supersparse Linear Integer Models for Interpretable Classification." Ustun, Berk, Stefano Traca and Cynthia Rudin, Working Paper. June 2013.

"The Big Data Newsvendor: Practical Insights from Machine Learning." Rudin, Cynthia and Gah-Yi Vahn, MIT Sloan Working Paper 5036-13. February 2014. (2013)

"Selective Sampling of Labelers for Approximating the Crowd." Seyda Ertekin, Haym Hirsh and Cynthia Rudin. In Proceedings of the 2012 AAAI Fall Symposium, edited by Diane J. Cook, Narayanan C. Krishnan, Parisa Rashidi, Marjorie Skubic and Alex Mihalidis. Arlington, VA: November 2012.

"Reverse-Engineering Quality Ratings." Chang, Allison, Cynthia Rudin, Michael Cavaretta, Robert Thomas and Gloria Chou. Machine Learning Vol. 88, No. 3 (2012): 369-398. (2012)

"Progressive Clustering with Learned Seeds: An Event Categorization System for Power Grid." Boyi Xie, Rebecca J. Passonneau, Haimonti Dutta, Jing-Yeu Miaw, Axinia Radeva, Ashish Tomar and Cynthia Rubin. In 24th International Conference on Software Engineering and Knowledge Engineering (SEKE 2012). Redwood City, CA: July 2012.

"Teaching "Prediction: Machine Learning and Statistics"". Cynthia Rudin. In Proceedings of the ICML Workshop on Teaching ML 2012. Edinburgh, Scotland: June 2012.

"Bayesian Hierarchical Rule Modeling for Predicting Medical Conditions." McCormick, Tyler, Cynthia Rudin and David Madigan. Annals of Applied Statistics Vol. 6, No. 2 (2012): 652-668. (2012)

"Learning to Predict the Wisdom of Crowds." Seyda Ertekin, Haym Hirsh and Cynthia Rudin. In Proceedings of Collective Intelligence 2012, edited by Michael Bernstein. Cambridge, MA: April 2012.

"The Influence of Operational Costs on Estimation." Theja Tulabandhula and Cynthia Rudin. In Proceedings of the International Symposium on Artificial Intelligence and Mathematics 2012, edited by Robert H. Sloan. Fort Lauderdale, FL: January 2012.

"Machine Learning for the New York City Power Grid." Rudin, Cynthia, David Waltz, Roger N. Anderson, Albert Boulanger, Ansaf Salleb-Aouissi, Maggie Chow, Haimonti Dutta, Philip Gross, Bert Huang, Steve Ierome, Delfine Isaac, Arthur Kressner, Rebecca J. Passonneau, Axinia Radeva and Leon Wu. IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 34, No. 2 (2012): 328-345. (2012)

"Approximating the Wisdom of the Crowd." Seyda Ertekin, Haym Hirsh and Cynthia Rudin. In Proceedings of the Second Workshop on Computational Social Science and the Wisdom of Crowds. Sierra Nevada, Spain: December 2011.

"On Equivalence Relationships Between Classification and Ranking Algorithms." Ertekin, Seyda and Cynthia Rudin. Journal of Machine Learning Research Vol. 12 (2011): 2905-2929. (2011)

"The Machine Learning and Traveling Repairman Problem." Theja Tulabandhula, Cynthia Rudin and Patrick Jaillet. In Algorithmic Decision Theory: Second International Conference, ADT 2011, Piscataway, NJ, USA, October 26-28, 2011 Proceedings, edited by Ronen Brafman, Fred S. Roberts and Alexis Tsoukias. Berlin, Germany: October 2011.

"Data Quality Assurance and Performance Measurement of Data Mining for Preventive Maintenance of Power Grid." Leon Wu, Gail Kaiser, Cynthia Rudin and Roger Anderson. In Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, edited by Chid Apte. San Diego, CA: August 2011.

"Treatment Effect of Repairs to an Electrical Grid: Leveraging a Machine Learned Model of Structure Vulnerability." Rebecca J. Passonneau, Cynthia Rudin, Axinia Radeva, Ashish Tomar and Boyi Xie. In Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, edited by Chid Apte. San Diego, CA: August 2011.

"Evaluating Machine Learning for Improving Power Grid Reliability." Leon Wu, Gail Kaiser, Cynthia Rudin, David Waltz, Roger Anderson, Albert Boulanger, Ansaf Salleb-Aouissi, Haimonti Dutta and Manoj Pooleery. In Proceedings of the 28th International Conference on Machine Learning, edited by Hal Daumé III and Kilian Weinberger. Bellevue, WA: June 2011.

"Sequential Event Prediction with Association Rules." Cynthia Rudin, Benjamin Letham, Ansaf Salleb-Aouissi, Eugene Kogan and David Madigan. In Proceedings of the 24th Annual Conference on Learning Theory, edited by Sham Kakade. Budapest, Hungary: June 2011.

"The Rate of Convergence of AdaBoost." Indraneel Mukherjee, Cynthia Rudin and Robert E. Schapire. In Proceedings of the 24th Annual Conference on Learning Theory, edited by Sham Kakade. Budapest, Hungary: June 2011.

"21st-Century Data Miners Meet 19th-Century Electrical Cables." Rudin, Cynthia, Rebecca J. Passonneau, Axinia Radeva, Steve Ierome and Delfina Isaac. IEEE Computer Vol. 44, No. 6 (2011): 103-105. (2011)

"Estimation of System Reliability Using a Semiparametric Model." Leon Wu, Timothy Teräväinen, Gail Kaiser, Roger Anderson, Albert Boulanger and Cynthia Rudin. In Proceedings of IEEE EnergyTech 2011. Cleveland, OH: May 2011.

"A Process for Predicting Manhole Events in Manhattan." Rudin, Cynthia, Rebecca E. Passonneau, Axinia Radeva, Haimonti Dutta, Steve Ierome and Delfina Isaac. Machine Learning Vol. 80, No. 1 (2010): 1-31. (2010)

"Report Cards for Manholes: Eliciting Expert Feedback for a Learning Task." Axinia Radeva, Cynthia Rudin, Rebecca Passonneau and Delfina Isaac. In Proceedings of the International Conference on Machine Learning and Applications, 2009. Miami Beach, FL: December 2009.

"Margin-Based Ranking and an Equivalence Between AdaBoost and RankBoost." Rudin, Cynthia and Robert E. Schapire. Journal of Machine Learning Research Vol. 10 (2009): 2193-2232. (2009)

"The P-Norm Push: A Simple Convex Ranking Algorithm that Concentrates at the Top of the List." Rudin, Cynthia. Journal of Machine Learning Research Vol. 10 (2009): 2233-2271. (2009)

"Reducing Noise in Labels and Features for a Real World Dataset: Applications of NLP Corpus Annotation Methods." Rebecca Passonneau, Cynthia Rudin, Axinia Radeva and Zhi An Liu. In Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing 2009, edited by Alexander Gelbukh. Mexico City, Mexico: March 2009.

"Arabic Morphological Tagging, Diacritization, and Lemmatization Using Lexeme Models and Feature Ranking." Ryan Roth, Owen Rambow, Nizar Habash, Mona Diab and Cynthia Rudin. In Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL/HLT), edited by Kathleen McKeown. Columbus, OH: June 2008.

"Visualization of Manhole and Precursor-Type Events for the Manhattan Electrical Distribution System." Haimonti Dutta, Cynthia Rudin, Becky Passonneau, Fried Seibel, Nandini Bhardwaj, Axinia Radeva, Zhi An Liu, Steve Ierome and Delfina Isaac. In Workshop on GeoVisualization of Dynamics, Movement and Change at the 11th AGILE International Conference on Geographic Information Science, edited by Gennady Andriendko, Natalia Andrienko, Jason Dykes, Sara Fabrikant and Monica Wachowicz. Girona, Spain: May 2008.

"Analysis of Boosting Algorithms Using the Smooth Margin Function." Rudin, Cynthia, Robert E. Schapire and Ingrid Daubechies. Annals of Statistics Vol. 35, No. 6 (2007): 2723-2768. (2007)

"Equillibrium Ridge Arrays in Strained Solid Films." Rudin, Cynthia and Brian Spencer. Journal of Applied Physics Vol. 86, No. 10 (1999): 5530-5536. (1999)

 

Contact Information
Office: E62-576
Tel: (617) 715-4215
Fax: (617) 258-7579
Support Staff
Name: Tyler Morse
Tel: (617) 253-2656

General Expertise
Algorithms; Algorithms; Algorithms; Analytics; Applied math; Artificial intelligence; Artificial intelligence; Bayesian statistics; Big data; Business intelligence; Business intelligence; Data analysis; Data analytics; Data mining; Data mining; Data mining; Data mining; Decision making; Decision support; Electricity; Machine learning; Medical decision making; Predictive analytics; Predictive analytics; Probability; Sports analytics; Statistics; Statistics