---
title: "Cynthia D Rudin — all 330 works in our library, page 2"
description: "All 330 works of Cynthia D Rudin in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/cynthia-d-rudin/works/page/2/"
---
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# Cynthia D Rudin — all works

330 works · page 2 of 4 · 101–200 · [← Cynthia D Rudin](https://md.research.elamur.ai/free/en/authors/cynthia-d-rudin/)

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101. **[Learning Theory Analysis for Association Rules and Sequential Event Prediction ↗](https://doi.org/10.7916/d82n50c1) no summary yet**Cynthia D Rudin, Benjamin Letham, David Madigan*2013 · 15 citations*
102. **[21st-Century Data Miners Meet 19th-Century Electrical Cables ↗](https://doi.org/10.1109/mc.2011.164) Computer · no summary yet**Cynthia D Rudin et al.*2011 · 15 citations*
103. **[Variable Importance Clouds: A Way to Explore Variable Importance for the Set of Good Models ↗](https://arxiv.org/abs/1901.03209) arXiv (Cornell University) · no summary yet**Jiayun Dong, Cynthia D Rudin*2019 · 14 citations*
104. **[Learning about meetings ↗](https://doi.org/10.1007/s10618-014-0348-z) Data Mining and Knowledge Discovery · no summary yet**Been Kim, Cynthia D Rudin*2014 · 14 citations*
105. **[Tire Changes, Fresh Air, and Yellow Flags: Challenges in Predictive Analytics for Professional Racing ↗](https://doi.org/10.1089/big.2014.0018) Big Data · no summary yet**Theja Tulabandhula, Cynthia D Rudin*2014 · 14 citations*
106. **[An Integer Optimization Approach to Associative Classification ↗](https://openalex.org/W2249156281) neural information processing systems · no summary yet**Allison Chang, Dimitris Bertsimas, Cynthia D Rudin*2012 · 14 citations*
107. **[Evaluating Machine Learning for Improving Power Grid Reliability ↗](https://doi.org/10.7916/d8sb4f1z) no summary yet**Leon Wu et al.*2011 · 14 citations*
108. **[Fast Sparse Classification for Generalized Linear and Additive Models ↗](https://arxiv.org/abs/2202.11389) PubMed · no summary yet**Jiachang Liu et al.*2022 · 13 citations*
109. **[Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effects ↗](https://doi.org/10.1287/ijoc.2021.1143) INFORMS journal on computing · no summary yet**Tong Wang, Cynthia D Rudin*2021 · 13 citations*
110. **[Bayesian Inference of Arrival Rate and Substitution Behavior from Sales Transaction Data with Stockouts ↗](https://doi.org/10.1145/2939672.2939810) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Benjamin Letham, Lydia M. Letham, Cynthia D Rudin*2016 · 13 citations*
111. **[Supersparse Linear Integer Models for Predictive Scoring Systems ↗](https://arxiv.org/abs/1306.5860) arXiv (Cornell University) · no summary yet**Berk Ustun, Stefano Tracà, Cynthia D Rudin*2013 · 13 citations*
112. **[How to reverse-engineer quality rankings ↗](https://doi.org/10.1007/s10994-012-5295-6) Machine Learning · no summary yet**Allison Chang et al.*2012 · 13 citations*
113. **[The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance ↗](https://doi.org/10.52202/075280-0274) neural information processing systems · no summary yet**Jon P. Donnelly et al.*2023 · 12 citations*
114. **[Learning Cost-Effective Treatment Regimes using Markov Decision Processes ↗](https://arxiv.org/abs/1610.06972) arXiv (Cornell University) · no summary yet**Himabindu Lakkaraju, Cynthia D Rudin*2016 · 12 citations*
115. **[Prediction uncertainty and optimal experimental design for learning dynamical systems ↗](https://doi.org/10.1063/1.4953795) Chaos An Interdisciplinary Journal of Nonlinear Science · no summary yet**Benjamin Letham et al.*2016 · 12 citations*
116. **[A Bayesian Approach to Learning Scoring Systems ↗](https://doi.org/10.1089/big.2015.0033) Big Data · no summary yet**Şeyda Ertekin, Cynthia D Rudin*2015 · 12 citations*
117. **[A Self-Supervised Algorithm for Denoising Photoplethysmography Signals for Heart Rate Estimation From Wearables ↗](https://doi.org/10.1162/99608f92.8636cb81) Harvard Data Science Review · no summary yet**Pranay Jain et al.*2024 · 11 citations*
118. **[Optimal Sparse Regression Trees ↗](https://doi.org/10.1609/aaai.v37i9.26334) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Rui Zhang et al.*2023 · 11 citations*
119. **[Do Simpler Models Exist and How Can We Find Them? ↗](https://doi.org/10.1145/3292500.3330823) ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · no summary yet**Cynthia D Rudin*2019 · 11 citations*
120. **[ORC: Ordered Rules for ClassificationA Discrete Optimization Approach to Associative Classification ↗](https://openalex.org/W1559029338) no summary yet**Dimitris Bertsimas, Allison Chang, Cynthia D Rudin*2012 · 11 citations*
121. **[On the Dynamics of Boosting ↗](https://openalex.org/W2157705457) no summary yet**Cynthia D Rudin, Ingrid C. Daubechies, Robert E. Schapire*2003 · 11 citations*
122. **[Exploring and Interacting with the Set of Good Sparse Generalized Additive Models ↗](https://doi.org/10.52202/075280-2476) neural information processing systems · no summary yet**Chudi Zhong et al.*2023 · 10 citations*
123. **[Towards Practical Lipschitz Bandits ↗](https://doi.org/10.1145/3412815.3416885) arXiv:1901.09277 · no summary yet**Tianyu Wang et al.*2020 · 10 citations*
124. **[A Computational Model of Inhibition of HIV-1 by Interferon-Alpha ↗](https://doi.org/10.1371/journal.pone.0152316) PLoS ONE · no summary yet**Edward P. Browne, Benjamin Letham, Cynthia D Rudin*2016 · 10 citations*
125. **[Interpretable Machine Learning Models for the Digital Clock Drawing Test ↗](https://arxiv.org/abs/1606.07163) arXiv (Cornell University) · no summary yet**William Souillard‐Mandar et al.*2016 · 10 citations*
126. **[The latent state hazard model, with application to wind turbine reliability ↗](https://doi.org/10.1214/15-aoas859) The Annals of Applied Statistics · no summary yet**Ramin Moghaddass, Cynthia D Rudin*2015 · 10 citations*
127. **[Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time ↗](https://doi.org/10.1109/cvpr52734.2025.00427) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jon P. Donnelly et al.*2025 · 9 citations*
128. **[Graph-based design of irregular metamaterials ↗](https://doi.org/10.1016/j.ijmecsci.2025.110203) International Journal of Mechanical Sciences · no summary yet**Rayehe Karimi Mahabadi et al.*2025 · 9 citations*
129. **[Dimension Reduction with Locally Adjusted Graphs ↗](https://doi.org/10.1609/aaai.v39i20.35436) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Yingfan Wang et al.*2025 · 9 citations*
130. **[A Path to Simpler Models Starts With Noise ↗](https://doi.org/10.52202/075280-0149) neural information processing systems · no summary yet**Lesia Semenova et al.*2023 · 9 citations*
131. **[Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection Using Eight Million Samples Labeled With Imprecise Arrhythmia Alarms ↗](https://doi.org/10.1109/jbhi.2024.3360952) IEEE Journal of Biomedical and Health Informatics · no summary yet**Cheng Ding et al.*2022 · 9 citations*
132. **[Failure Analysis of the New York City Power Grid ↗](https://doi.org/10.7916/d8g73cbz) no summary yet**Leon Wu et al.*2014 · 9 citations*
133. **[Reducing Noise in Labels and Features for a Real World Dataset: Application of NLP Corpus Annotation Methods ↗](https://doi.org/10.1007/978-3-642-00382-0_7) Lecture notes in computer science · no summary yet**Rebecca J. Passonneau et al.*2009 · 9 citations*
134. **[FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography ↗](https://doi.org/10.1109/cvprw63382.2024.00506) IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · no summary yet**Julia Yang et al.*2024 · 8 citations*
135. **[Fast and interpretable mortality risk scores for critical care patients ↗](https://doi.org/10.1093/jamia/ocae318) Journal of the American Medical Informatics Association · no summary yet**Chloe Qinyu Zhu et al.*2024 · 8 citations*
136. **[Glass Box Artificial Intelligence in Criminal Justice ↗](https://doi.org/10.2139/ssrn.4275661) SSRN Electronic Journal · no summary yet**Brandon L. Garrett, Cynthia D Rudin*2022 · 8 citations*
137. **[MALTS: Matching After Learning to Stretch ↗](https://arxiv.org/abs/1811.07415) RePEc: Research Papers in Economics · no summary yet**Harsh Parikh, Cynthia D Rudin, Alexander Volfovsky*2018 · 8 citations*
138. **[Integer Optimization Methods for Supervised Ranking ↗](http://hdl.handle.net/1721.1/67362) no summary yet**Dimitris Bertsimas, Allison Chang, Cynthia D Rudin*2011 · 8 citations*
139. **[A multiscale design method using interpretable machine learning for phononic materials with closely interacting scales ↗](https://doi.org/10.1016/j.cma.2025.117833) Computer Methods in Applied Mechanics and Engineering · no summary yet**Mary V. Bastawrous et al.*2025 · 7 citations*
140. **[Multitask Learning for Citation Purpose Classification ↗](https://aclanthology.org/2021.sdp-1.18/) Proceedings of the Second Workshop on Scholarly Document Processing · no summary yet**Yasa M. Baig et al.*2021 · 7 citations*
141. **[Interpretable Mammographic Image Classification using Case-Based Reasoning and Deep Learning ↗](https://arxiv.org/abs/2107.05605) arXiv (Cornell University) · no summary yet**Alina Jade Barnett et al.*2021 · 7 citations*
142. **[Shall I Compare Thee to a Machine-Written Sonnet? An Approach to Algorithmic Sonnet Generation ↗](https://arxiv.org/abs/1811.05067) arXiv (Cornell University) · no summary yet**Benhardt, John et al.*2018 · 7 citations*
143. **[Direct Learning to Rank and Rerank ↗](https://arxiv.org/abs/1802.07400) arXiv (Cornell University) · no summary yet**Cynthia D Rudin, Yining Wang*2018 · 7 citations*
144. **[Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effect ↗](https://arxiv.org/abs/1710.05426) arXiv (Cornell University) · no summary yet**Tong Wang, Cynthia D Rudin*2017 · 7 citations*
145. **[The factorized self-controlled case series method: an approach for estimating the effects of many drugs on any outcomes ↗](https://openalex.org/W2542915588) Journal of Machine Learning Research · no summary yet**Ramin Moghaddass, Cynthia D Rudin, David Madigan*2016 · 7 citations*
146. **[Machine learning with operational costs ↗](https://arxiv.org/abs/1112.0698) DSpace@MIT (Massachusetts Institute of Technology) · no summary yet**Theja Tulabandhula, Cynthia D Rudin*2011 · 7 citations*
147. **[Near Optimal Decision Trees in a SPLIT Second ↗](https://arxiv.org/abs/2502.15988) arXiv (Cornell University) · no summary yet**Varun Babbar et al.*2025 · 6 citations*
148. **[Using Noise to Infer Aspects of Simplicity Without Learning ↗](https://doi.org/10.52202/079017-4191) neural information processing systems · no summary yet**Zachery Boner et al.*2024 · 6 citations*
149. **[SentHYMNent: An Interpretable and Sentiment-Driven Model for Algorithmic Melody Harmonization ↗](https://doi.org/10.1145/3637528.3671626) ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Stephen Hahn et al.*2024 · 6 citations*
150. **[An Interpretable, Flexible, and Interactive Probabilistic Framework for Melody Generation ↗](https://doi.org/10.1145/3580305.3599772) ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Stephen Hahn et al.*2023 · 6 citations*
151. **[The Importance of Being Ernest, Ekundayo, or Eswari: An Interpretable Machine Learning Approach to Name-Based Ethnicity Classification ↗](https://doi.org/10.1162/99608f92.db1aba8b) Harvard Data Science Review · no summary yet**Vaishali Jain, Ted Enamorado, Cynthia D Rudin*2022 · 6 citations*
152. **[There Once Was a Really Bad Poet, It Was Automated but You Didn't Know It ↗](https://aclanthology.org/2021.tacl-1.37/) Transactions of the Association for Computational Linguistics · no summary yet**Jianyou Wang et al.*2021 · 6 citations*
153. **[Modeling recovery curves with application to prostatectomy ↗](https://doi.org/10.1093/biostatistics/kxy002) Biostatistics · no summary yet**Fulton Wang et al.*2015 · 6 citations*
154. **[Report Cards for Manholes: Eliciting Expert Feedback for a Learning Task ↗](https://doi.org/10.1109/icmla.2009.72) International Conference on Machine Learning and Applications · no summary yet**Axinia Radeva et al.*2009 · 6 citations*
155. **[Artificial intelligence for risk analysis and the risks of artificial intelligence: Part 1 ↗](https://doi.org/10.1111/risa.70017) Risk Analysis · no summary yet**Vicki Marion Bier et al.*2025 · 5 citations*
156. **[Navigating the Effect of Parametrization for Dimensionality Reduction ↗](https://doi.org/10.52202/079017-0413) neural information processing systems · no summary yet**Haiyang Huang, Yingfan Wang, Cynthia D Rudin*2024 · 5 citations*
157. **[How many patients do you need? Investigating trial designs for anti‐seizure treatment in acute brain injury patients ↗](https://doi.org/10.1002/acn3.52059) Annals of Clinical and Translational Neurology · no summary yet**Harsh Parikh et al.*2024 · 5 citations*
158. **[Machine learning approaches identify immunologic signatures of total and intact HIV DNA during long-term antiretroviral therapy ↗](https://doi.org/10.7554/elife.94899) eLife · no summary yet**Lesia Semenova et al.*2024 · 5 citations*
159. **[OKRidge: Scalable Optimal k-Sparse Ridge Regression ↗](https://arxiv.org/abs/2304.06686) PubMed · no summary yet**Jiachang Liu et al.*2023 · 5 citations*
160. **[Improving Clinician Performance in Classification of EEG Patterns on the Ictal-Interictal-Injury Continuum using Interpretable Machine Learning ↗](https://arxiv.org/abs/2211.05207) arXiv (Cornell University) · no summary yet**Alina Jade Barnett et al.*2022 · 5 citations*
161. **[Interpretable deep learning models for better clinician-AI communication in clinical mammography ↗](https://doi.org/10.1117/12.2612372) SPIE Medical Imaging: Image Perception, Observer Performance, and Technology Assessment · no summary yet**Alina Jade Barnett et al.*2022 · 5 citations*
162. **[Interpretable Prediction Rules for Congestion Risk in Intensive Care Units ↗](https://doi.org/10.1287/stsy.2022.0018) Stochastic Systems · no summary yet**Fernanda Bravo et al.*2022 · 5 citations*
163. **[Effects of Epileptiform Activity on Discharge Outcome in Critically Ill Patients ↗](https://arxiv.org/abs/2203.04920) arXiv (Cornell University) · no summary yet**Harsh Parikh et al.*2022 · 5 citations*
164. **[Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference ↗](https://arxiv.org/abs/2003.00964) arXiv (Cornell University) · no summary yet**M. Usaid Awan et al.*2020 · 5 citations*
165. **[Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation ↗](https://arxiv.org/abs/2003.01805) arXiv (Cornell University) · no summary yet**Marco Morucci et al.*2020 · 5 citations*
166. **[Improving Atrial Fibrillation Detection Using a Shared Latent Space for ECG and PPG Signals ↗](https://doi.org/10.1162/99608f92.9e63a630) Harvard Data Science Review · no summary yet**Zhicheng Guo et al.*2025 · 4 citations*
167. **[Leveraging Predictive Equivalence in Decision Trees ↗](https://arxiv.org/abs/2506.14143) arXiv (Cornell University) · no summary yet**Hayden McTavish et al.*2025 · 4 citations*
168. **[From biomatter to bioplastics: A perspective on modeling, structure, and data-driven design ↗](https://doi.org/10.1557/s43577-025-01001-x) MRS Bulletin · no summary yet**Eleftheria Roumeli et al.*2025 · 4 citations*
169. **[This Looks Better than That: Better Interpretable Models with ProtoPNeXt ↗](https://arxiv.org/abs/2406.14675) arXiv (Cornell University) · no summary yet**Willard, Frank et al.*2024 · 4 citations*
170. **[Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help? ↗](https://arxiv.org/abs/2304.11749) arXiv (Cornell University) · no summary yet**Zhi Chen et al.*2023 · 4 citations*
171. **[SegDiscover: Visual Concept Discovery via Unsupervised Semantic Segmentation ↗](https://arxiv.org/abs/2204.10926) arXiv (Cornell University) · no summary yet**Haiyang Huang, Chen, Zhi, Cynthia D Rudin*2022 · 4 citations*
172. **[dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference ↗](https://arxiv.org/abs/2101.01867) arXiv (Cornell University) · no summary yet**Gupta, Neha R. et al.*2021 · 4 citations*
173. **[Reducing Exploration of Dying Arms in Mortal Bandits ↗](https://arxiv.org/abs/1907.02571) arXiv (Cornell University) · no summary yet**Stefano Tracà, Cynthia D Rudin, Weiyu Yan*2019 · 4 citations*
174. **[A Minimax Surrogate Loss Approach to Conditional Difference Estimation ↗](https://arxiv.org/abs/1803.03769) arXiv (Cornell University) · no summary yet**Siong Thye Goh, Cynthia D Rudin*2018 · 4 citations*
175. **[CRAFT: ClusteR-specific Assorted Feature selecTion ↗](https://arxiv.org/abs/1506.07609) arXiv (Cornell University) · no summary yet**Vikas Garg, Cynthia D Rudin, Tommi Jaakkola*2015 · 4 citations*
176. **[Preference Learning (Dagstuhl Seminar 14,101) ↗](https://doi.org/10.4230/dagrep.4.3.1) Open access LMU (Ludwid Maxmilian's Universitat Munchen) · no summary yet**Johannes Fürnkranz et al.*2014 · 4 citations*
177. **[From Rashomon Theory to PRAXIS: Efficient Decision Tree Rashomon Sets ↗](https://arxiv.org/abs/2606.00202) arXiv (Cornell University) · no summary yet**Zakk Heile et al.*2026 · 3 citations*
178. **[The Right to a Glass Box: Rethinking the Use of Artificial Intelligence in Criminal Justice ↗](https://openalex.org/W7061865528) Duke Law Scholarship Repository (Duke University) · no summary yet**Garrett, Brandon L., Cynthia D Rudin*2024 · 3 citations*
179. **[AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets ↗](https://arxiv.org/abs/2405.04605) arXiv (Cornell University) · no summary yet**Fakrul Islam Tushar et al.*2024 · 3 citations*
180. **[SiamAF: Learning Shared Information from ECG and PPG Signals for Robust Atrial Fibrillation Detection ↗](https://arxiv.org/abs/2310.09203) arXiv (Cornell University) · no summary yet**Zhicheng Guo et al.*2023 · 3 citations*
181. **[A user interface to communicate interpretable AI decisions to radiologists ↗](https://doi.org/10.1117/12.2654068) SPIE Medical Imaging: Image Perception, Observer Performance, and Technology Assessment · no summary yet**Yanchen Jessie Ou et al.*2023 · 3 citations*
182. **[A Double Machine Learning Approach for Combining Experimental and Observational Studies ↗](https://doi.org/10.1353/obs.2025.a973068) Observational Studies · no summary yet**Harsh Parikh et al.*2023 · 3 citations*
183. **[Interpretable Almost-Matching-Exactly With Instrumental Variables ↗](https://arxiv.org/abs/1906.11658) arXiv (Cornell University) · no summary yet**M. Usaid Awan et al.*2019 · 3 citations*
184. **[Simple Rules for Predicting Congestion Risk in Queueing Systems: Application to ICUs ↗](https://doi.org/10.2139/ssrn.3384148) SSRN Electronic Journal · no summary yet**Fernanda Bravo et al.*2019 · 3 citations*
185. **[A Practical Bandit Method with Advantages in Neural Network Tuning. ↗](http://dblp.uni-trier.de/db/journals/corr/corr1901.html#abs-1901-09277) arXiv (Cornell University) · no summary yet**Tianyu Wang, Dawei Geng, Cynthia D Rudin*2019 · 3 citations*
186. **[Extreme Dimension Reduction for Handling Covariate Shift ↗](https://arxiv.org/abs/1711.10938) arXiv (Cornell University) · no summary yet**Fulton Wang, Cynthia D Rudin*2017 · 3 citations*
187. **[The Rate of Convergence of AdaBoost ↗](https://arxiv.org/abs/1106.6024) arXiv (Cornell University) · no summary yet**Indraneel Mukherjee, Cynthia D Rudin, Robert E. Schapire*2011 · 3 citations*
188. **[A Learning Theory Framework for Association Rules and Sequential Events ↗](https://doi.org/10.2139/ssrn.1868446) SSRN Electronic Journal · no summary yet**Cynthia D Rudin et al.*2011 · 3 citations*
189. **[Estimation of System Reliability Using a ↗](https://openalex.org/W2189093711) no summary yet**Leon Wu et al.*2011 · 3 citations*
190. **[Stability Analysis for Regularized Least Squares Regression ↗](https://arxiv.org/abs/cs/0502016) arXiv (Cornell University) · no summary yet**Cynthia D Rudin*2005 · 3 citations*
191. **[Boosting, margins, and dynamics ↗](https://openalex.org/W2483027298) no summary yet**Cynthia D Rudin, Ingrid C. Daubechies, Robert E. Schapire*2004 · 3 citations*
192. **[Doctor Rashomon and the UNIVERSE of Madness: Variable Importance with Unobserved Confounding and the Rashomon Effect ↗](https://arxiv.org/abs/2510.12734) arXiv (Cornell University) · no summary yet**Jon P. Donnelly et al.*2025 · 2 citations*
193. **[Multi-site validation of an interpretable model to analyze breast masses ↗](https://doi.org/10.1371/journal.pone.0320091) PLoS ONE · no summary yet**Luke Moffett et al.*2025 · 2 citations*
194. **[A New Dataset, Notation Software, and Representation for Computational Schenkerian Analysis ↗](https://arxiv.org/abs/2408.07184) arXiv (Cornell University) · no summary yet**Stephen Ni-Hahn et al.*2024 · 2 citations*
195. **[Interpretable Generalized Additive Models for Datasets with Missing Values ↗](https://doi.org/10.52202/079017-0380) neural information processing systems · no summary yet**Hayden McTavish et al.*2024 · 2 citations*
196. **[Sparse and Faithful Explanations Without Sparse Models ↗](https://arxiv.org/abs/2402.09702) arXiv (Cornell University) · no summary yet**Yiyang Sun et al.*2024 · 2 citations*
197. **[Optimal Sparse Survival Trees ↗](https://arxiv.org/abs/2401.15330) PubMed · no summary yet**Rui Zhang et al.*2024 · 2 citations*
198. [**The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation**Edwin Agnew, Michelle Qiu, Lily Zhu, et al.*Machine translation · 2 citations*](https://md.research.elamur.ai/free/en/papers/agnew-2023-mechanical-bard-interpretable-machine-learning/)
199. **[Variable Importance Matching for Causal Inference ↗](https://arxiv.org/abs/2302.11715) RePEc: Research Papers in Economics · no summary yet**Quinn Lanners et al.*2023 · 2 citations*
200. **[Rethinking Nonlinear Instrumental Variable Models through Prediction Validity. ↗](https://www.ncbi.nlm.nih.gov/pmc/articles/11539950) PubMed · no summary yet**Chunxiao Li, Cynthia D Rudin, Tyler H. McCormick*2022 · 2 citations*

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