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Cynthia D Rudin — all works

330 works · page 2 of 4 · 101–200 · ← Cynthia D Rudin

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  1. Learning Theory Analysis for Association Rules and Sequential Event Prediction ↗no summary yetCynthia D Rudin, Benjamin Letham, David Madigan2013 · 15 citations
  2. 21st-Century Data Miners Meet 19th-Century Electrical Cables ↗Computer · no summary yetCynthia D Rudin et al.2011 · 15 citations
  3. Variable Importance Clouds: A Way to Explore Variable Importance for the Set of Good Models ↗arXiv (Cornell University) · no summary yetJiayun Dong, Cynthia D Rudin2019 · 14 citations
  4. Learning about meetings ↗Data Mining and Knowledge Discovery · no summary yetBeen Kim, Cynthia D Rudin2014 · 14 citations
  5. Tire Changes, Fresh Air, and Yellow Flags: Challenges in Predictive Analytics for Professional Racing ↗Big Data · no summary yetTheja Tulabandhula, Cynthia D Rudin2014 · 14 citations
  6. An Integer Optimization Approach to Associative Classification ↗neural information processing systems · no summary yetAllison Chang, Dimitris Bertsimas, Cynthia D Rudin2012 · 14 citations
  7. Evaluating Machine Learning for Improving Power Grid Reliability ↗no summary yetLeon Wu et al.2011 · 14 citations
  8. Fast Sparse Classification for Generalized Linear and Additive Models ↗PubMed · no summary yetJiachang Liu et al.2022 · 13 citations
  9. Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effects ↗INFORMS journal on computing · no summary yetTong Wang, Cynthia D Rudin2021 · 13 citations
  10. Bayesian Inference of Arrival Rate and Substitution Behavior from Sales Transaction Data with Stockouts ↗ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetBenjamin Letham, Lydia M. Letham, Cynthia D Rudin2016 · 13 citations
  11. Supersparse Linear Integer Models for Predictive Scoring Systems ↗arXiv (Cornell University) · no summary yetBerk Ustun, Stefano Tracà, Cynthia D Rudin2013 · 13 citations
  12. How to reverse-engineer quality rankings ↗Machine Learning · no summary yetAllison Chang et al.2012 · 13 citations
  13. The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance ↗neural information processing systems · no summary yetJon P. Donnelly et al.2023 · 12 citations
  14. Learning Cost-Effective Treatment Regimes using Markov Decision Processes ↗arXiv (Cornell University) · no summary yetHimabindu Lakkaraju, Cynthia D Rudin2016 · 12 citations
  15. Prediction uncertainty and optimal experimental design for learning dynamical systems ↗Chaos An Interdisciplinary Journal of Nonlinear Science · no summary yetBenjamin Letham et al.2016 · 12 citations
  16. A Bayesian Approach to Learning Scoring Systems ↗Big Data · no summary yetŞeyda Ertekin, Cynthia D Rudin2015 · 12 citations
  17. A Self-Supervised Algorithm for Denoising Photoplethysmography Signals for Heart Rate Estimation From Wearables ↗Harvard Data Science Review · no summary yetPranay Jain et al.2024 · 11 citations
  18. Optimal Sparse Regression Trees ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetRui Zhang et al.2023 · 11 citations
  19. Do Simpler Models Exist and How Can We Find Them? ↗ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · no summary yetCynthia D Rudin2019 · 11 citations
  20. ORC: Ordered Rules for ClassificationA Discrete Optimization Approach to Associative Classification ↗no summary yetDimitris Bertsimas, Allison Chang, Cynthia D Rudin2012 · 11 citations
  21. On the Dynamics of Boosting ↗no summary yetCynthia D Rudin, Ingrid C. Daubechies, Robert E. Schapire2003 · 11 citations
  22. Exploring and Interacting with the Set of Good Sparse Generalized Additive Models ↗neural information processing systems · no summary yetChudi Zhong et al.2023 · 10 citations
  23. Towards Practical Lipschitz Bandits ↗arXiv:1901.09277 · no summary yetTianyu Wang et al.2020 · 10 citations
  24. A Computational Model of Inhibition of HIV-1 by Interferon-Alpha ↗PLoS ONE · no summary yetEdward P. Browne, Benjamin Letham, Cynthia D Rudin2016 · 10 citations
  25. Interpretable Machine Learning Models for the Digital Clock Drawing Test ↗arXiv (Cornell University) · no summary yetWilliam Souillard‐Mandar et al.2016 · 10 citations
  26. The latent state hazard model, with application to wind turbine reliability ↗The Annals of Applied Statistics · no summary yetRamin Moghaddass, Cynthia D Rudin2015 · 10 citations
  27. Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJon P. Donnelly et al.2025 · 9 citations
  28. Graph-based design of irregular metamaterials ↗International Journal of Mechanical Sciences · no summary yetRayehe Karimi Mahabadi et al.2025 · 9 citations
  29. Dimension Reduction with Locally Adjusted Graphs ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetYingfan Wang et al.2025 · 9 citations
  30. A Path to Simpler Models Starts With Noise ↗neural information processing systems · no summary yetLesia Semenova et al.2023 · 9 citations
  31. Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection Using Eight Million Samples Labeled With Imprecise Arrhythmia Alarms ↗IEEE Journal of Biomedical and Health Informatics · no summary yetCheng Ding et al.2022 · 9 citations
  32. Failure Analysis of the New York City Power Grid ↗no summary yetLeon Wu et al.2014 · 9 citations
  33. Reducing Noise in Labels and Features for a Real World Dataset: Application of NLP Corpus Annotation Methods ↗Lecture notes in computer science · no summary yetRebecca J. Passonneau et al.2009 · 9 citations
  34. FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography ↗IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · no summary yetJulia Yang et al.2024 · 8 citations
  35. Fast and interpretable mortality risk scores for critical care patients ↗Journal of the American Medical Informatics Association · no summary yetChloe Qinyu Zhu et al.2024 · 8 citations
  36. Glass Box Artificial Intelligence in Criminal Justice ↗SSRN Electronic Journal · no summary yetBrandon L. Garrett, Cynthia D Rudin2022 · 8 citations
  37. MALTS: Matching After Learning to Stretch ↗RePEc: Research Papers in Economics · no summary yetHarsh Parikh, Cynthia D Rudin, Alexander Volfovsky2018 · 8 citations
  38. Integer Optimization Methods for Supervised Ranking ↗no summary yetDimitris Bertsimas, Allison Chang, Cynthia D Rudin2011 · 8 citations
  39. A multiscale design method using interpretable machine learning for phononic materials with closely interacting scales ↗Computer Methods in Applied Mechanics and Engineering · no summary yetMary V. Bastawrous et al.2025 · 7 citations
  40. Multitask Learning for Citation Purpose Classification ↗Proceedings of the Second Workshop on Scholarly Document Processing · no summary yetYasa M. Baig et al.2021 · 7 citations
  41. Interpretable Mammographic Image Classification using Case-Based Reasoning and Deep Learning ↗arXiv (Cornell University) · no summary yetAlina Jade Barnett et al.2021 · 7 citations
  42. Shall I Compare Thee to a Machine-Written Sonnet? An Approach to Algorithmic Sonnet Generation ↗arXiv (Cornell University) · no summary yetBenhardt, John et al.2018 · 7 citations
  43. Direct Learning to Rank and Rerank ↗arXiv (Cornell University) · no summary yetCynthia D Rudin, Yining Wang2018 · 7 citations
  44. Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effect ↗arXiv (Cornell University) · no summary yetTong Wang, Cynthia D Rudin2017 · 7 citations
  45. The factorized self-controlled case series method: an approach for estimating the effects of many drugs on any outcomes ↗Journal of Machine Learning Research · no summary yetRamin Moghaddass, Cynthia D Rudin, David Madigan2016 · 7 citations
  46. Machine learning with operational costs ↗DSpace@MIT (Massachusetts Institute of Technology) · no summary yetTheja Tulabandhula, Cynthia D Rudin2011 · 7 citations
  47. Near Optimal Decision Trees in a SPLIT Second ↗arXiv (Cornell University) · no summary yetVarun Babbar et al.2025 · 6 citations
  48. Using Noise to Infer Aspects of Simplicity Without Learning ↗neural information processing systems · no summary yetZachery Boner et al.2024 · 6 citations
  49. SentHYMNent: An Interpretable and Sentiment-Driven Model for Algorithmic Melody Harmonization ↗ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetStephen Hahn et al.2024 · 6 citations
  50. An Interpretable, Flexible, and Interactive Probabilistic Framework for Melody Generation ↗ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetStephen Hahn et al.2023 · 6 citations
  51. The Importance of Being Ernest, Ekundayo, or Eswari: An Interpretable Machine Learning Approach to Name-Based Ethnicity Classification ↗Harvard Data Science Review · no summary yetVaishali Jain, Ted Enamorado, Cynthia D Rudin2022 · 6 citations
  52. There Once Was a Really Bad Poet, It Was Automated but You Didn't Know It ↗Transactions of the Association for Computational Linguistics · no summary yetJianyou Wang et al.2021 · 6 citations
  53. Modeling recovery curves with application to prostatectomy ↗Biostatistics · no summary yetFulton Wang et al.2015 · 6 citations
  54. Report Cards for Manholes: Eliciting Expert Feedback for a Learning Task ↗International Conference on Machine Learning and Applications · no summary yetAxinia Radeva et al.2009 · 6 citations
  55. Artificial intelligence for risk analysis and the risks of artificial intelligence: Part 1 ↗Risk Analysis · no summary yetVicki Marion Bier et al.2025 · 5 citations
  56. Navigating the Effect of Parametrization for Dimensionality Reduction ↗neural information processing systems · no summary yetHaiyang Huang, Yingfan Wang, Cynthia D Rudin2024 · 5 citations
  57. How many patients do you need? Investigating trial designs for anti‐seizure treatment in acute brain injury patients ↗Annals of Clinical and Translational Neurology · no summary yetHarsh Parikh et al.2024 · 5 citations
  58. Machine learning approaches identify immunologic signatures of total and intact HIV DNA during long-term antiretroviral therapy ↗eLife · no summary yetLesia Semenova et al.2024 · 5 citations
  59. OKRidge: Scalable Optimal k-Sparse Ridge Regression ↗PubMed · no summary yetJiachang Liu et al.2023 · 5 citations
  60. Improving Clinician Performance in Classification of EEG Patterns on the Ictal-Interictal-Injury Continuum using Interpretable Machine Learning ↗arXiv (Cornell University) · no summary yetAlina Jade Barnett et al.2022 · 5 citations
  61. Interpretable deep learning models for better clinician-AI communication in clinical mammography ↗SPIE Medical Imaging: Image Perception, Observer Performance, and Technology Assessment · no summary yetAlina Jade Barnett et al.2022 · 5 citations
  62. Interpretable Prediction Rules for Congestion Risk in Intensive Care Units ↗Stochastic Systems · no summary yetFernanda Bravo et al.2022 · 5 citations
  63. Effects of Epileptiform Activity on Discharge Outcome in Critically Ill Patients ↗arXiv (Cornell University) · no summary yetHarsh Parikh et al.2022 · 5 citations
  64. Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference ↗arXiv (Cornell University) · no summary yetM. Usaid Awan et al.2020 · 5 citations
  65. Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation ↗arXiv (Cornell University) · no summary yetMarco Morucci et al.2020 · 5 citations
  66. Improving Atrial Fibrillation Detection Using a Shared Latent Space for ECG and PPG Signals ↗Harvard Data Science Review · no summary yetZhicheng Guo et al.2025 · 4 citations
  67. Leveraging Predictive Equivalence in Decision Trees ↗arXiv (Cornell University) · no summary yetHayden McTavish et al.2025 · 4 citations
  68. From biomatter to bioplastics: A perspective on modeling, structure, and data-driven design ↗MRS Bulletin · no summary yetEleftheria Roumeli et al.2025 · 4 citations
  69. This Looks Better than That: Better Interpretable Models with ProtoPNeXt ↗arXiv (Cornell University) · no summary yetWillard, Frank et al.2024 · 4 citations
  70. Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help? ↗arXiv (Cornell University) · no summary yetZhi Chen et al.2023 · 4 citations
  71. SegDiscover: Visual Concept Discovery via Unsupervised Semantic Segmentation ↗arXiv (Cornell University) · no summary yetHaiyang Huang, Chen, Zhi, Cynthia D Rudin2022 · 4 citations
  72. dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference ↗arXiv (Cornell University) · no summary yetGupta, Neha R. et al.2021 · 4 citations
  73. Reducing Exploration of Dying Arms in Mortal Bandits ↗arXiv (Cornell University) · no summary yetStefano Tracà, Cynthia D Rudin, Weiyu Yan2019 · 4 citations
  74. A Minimax Surrogate Loss Approach to Conditional Difference Estimation ↗arXiv (Cornell University) · no summary yetSiong Thye Goh, Cynthia D Rudin2018 · 4 citations
  75. CRAFT: ClusteR-specific Assorted Feature selecTion ↗arXiv (Cornell University) · no summary yetVikas Garg, Cynthia D Rudin, Tommi Jaakkola2015 · 4 citations
  76. Preference Learning (Dagstuhl Seminar 14,101) ↗Open access LMU (Ludwid Maxmilian's Universitat Munchen) · no summary yetJohannes Fürnkranz et al.2014 · 4 citations
  77. From Rashomon Theory to PRAXIS: Efficient Decision Tree Rashomon Sets ↗arXiv (Cornell University) · no summary yetZakk Heile et al.2026 · 3 citations
  78. The Right to a Glass Box: Rethinking the Use of Artificial Intelligence in Criminal Justice ↗Duke Law Scholarship Repository (Duke University) · no summary yetGarrett, Brandon L., Cynthia D Rudin2024 · 3 citations
  79. AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets ↗arXiv (Cornell University) · no summary yetFakrul Islam Tushar et al.2024 · 3 citations
  80. SiamAF: Learning Shared Information from ECG and PPG Signals for Robust Atrial Fibrillation Detection ↗arXiv (Cornell University) · no summary yetZhicheng Guo et al.2023 · 3 citations
  81. A user interface to communicate interpretable AI decisions to radiologists ↗SPIE Medical Imaging: Image Perception, Observer Performance, and Technology Assessment · no summary yetYanchen Jessie Ou et al.2023 · 3 citations
  82. A Double Machine Learning Approach for Combining Experimental and Observational Studies ↗Observational Studies · no summary yetHarsh Parikh et al.2023 · 3 citations
  83. Interpretable Almost-Matching-Exactly With Instrumental Variables ↗arXiv (Cornell University) · no summary yetM. Usaid Awan et al.2019 · 3 citations
  84. Simple Rules for Predicting Congestion Risk in Queueing Systems: Application to ICUs ↗SSRN Electronic Journal · no summary yetFernanda Bravo et al.2019 · 3 citations
  85. A Practical Bandit Method with Advantages in Neural Network Tuning. ↗arXiv (Cornell University) · no summary yetTianyu Wang, Dawei Geng, Cynthia D Rudin2019 · 3 citations
  86. Extreme Dimension Reduction for Handling Covariate Shift ↗arXiv (Cornell University) · no summary yetFulton Wang, Cynthia D Rudin2017 · 3 citations
  87. The Rate of Convergence of AdaBoost ↗arXiv (Cornell University) · no summary yetIndraneel Mukherjee, Cynthia D Rudin, Robert E. Schapire2011 · 3 citations
  88. A Learning Theory Framework for Association Rules and Sequential Events ↗SSRN Electronic Journal · no summary yetCynthia D Rudin et al.2011 · 3 citations
  89. Estimation of System Reliability Using a ↗no summary yetLeon Wu et al.2011 · 3 citations
  90. Stability Analysis for Regularized Least Squares Regression ↗arXiv (Cornell University) · no summary yetCynthia D Rudin2005 · 3 citations
  91. Boosting, margins, and dynamics ↗no summary yetCynthia D Rudin, Ingrid C. Daubechies, Robert E. Schapire2004 · 3 citations
  92. Doctor Rashomon and the UNIVERSE of Madness: Variable Importance with Unobserved Confounding and the Rashomon Effect ↗arXiv (Cornell University) · no summary yetJon P. Donnelly et al.2025 · 2 citations
  93. Multi-site validation of an interpretable model to analyze breast masses ↗PLoS ONE · no summary yetLuke Moffett et al.2025 · 2 citations
  94. A New Dataset, Notation Software, and Representation for Computational Schenkerian Analysis ↗arXiv (Cornell University) · no summary yetStephen Ni-Hahn et al.2024 · 2 citations
  95. Interpretable Generalized Additive Models for Datasets with Missing Values ↗neural information processing systems · no summary yetHayden McTavish et al.2024 · 2 citations
  96. Sparse and Faithful Explanations Without Sparse Models ↗arXiv (Cornell University) · no summary yetYiyang Sun et al.2024 · 2 citations
  97. Optimal Sparse Survival Trees ↗PubMed · no summary yetRui Zhang et al.2024 · 2 citations
  98. The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet GenerationEdwin Agnew, Michelle Qiu, Lily Zhu, et al.Machine translation · 2 citations
  99. Variable Importance Matching for Causal Inference ↗RePEc: Research Papers in Economics · no summary yetQuinn Lanners et al.2023 · 2 citations
  100. Rethinking Nonlinear Instrumental Variable Models through Prediction Validity. ↗PubMed · no summary yetChunxiao Li, Cynthia D Rudin, Tyler H. McCormick2022 · 2 citations

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