WebDec 8, 2024 · Visit us in Hall J #615 Wed from 4-6 pm. Cynthia Rudin Retweeted. Interpretable ML Lab. @InterpretMLLab. ·. Oct 24, 2024. Introducing a new paradigm for interpretable ML! treeFarms lets you choose from the set of all near-optimal models instead of giving you just one. WebMar 10, 2024 · Cynthia Rudin and Yaron Shaposhnik From Feature Importance to Distance Metric: An Almost Exact Matching Approach for Causal Inference, 2024. Quinn Lanners, Harsh Parikh, Alexander Volfovsky, Cynthia Rudin, David Page 2024 Exploring the Whole Rashomon Set of Sparse Decision Trees, NeurIPS (oral), 2024. (code) (bib) (5 min video)
Cynthia Rudin - Wikipedia
Web21 Citations. Part of the Lecture Notes in Computer Science book series (LNAI,volume 3559) Abstract ... MathSciNet Google Scholar Rudin, C., Schapire, R.E., Daubechies, I.: Analysis of boosting algorithms using the smooth margin function: A study of three algorithms. ... Cynthia Rudin. Google Research, 1440 Broadway, New York, NY, 10018. WebNov 16, 2024 · “The headline story is one of sizeable gains for Mainland China and a decline for the United States, particularly when you look at the trends over the last four years,” said a statement from David Pendlebury, Senior Citation Analyst at the Institute for … highest rated wall oven
Deep Learning for Case-Based Reasoning Through Prototypes: A Neural ...
WebCynthia Rudin is a professor of computer science, electrical and computer engineering, statistical science, and biostatistics & bioinformatics at Duke University, and directs the Interpretable Machine Learning Lab. … WebSep 19, 2024 · Good news! Google scholar provides citations for articles from the search result list (currently MLA, APA, Chicago, Harvard or Vancouver). To grab a citation click on the Cite link below a search result and select from the available citation styles. As with any resource that provides citations, always double check to make sure formatting is ... WebApr 6, 2024 · Cynthia Rudin is the Earl D. McLean, Jr. Professor of Computer Science and Engineering at Duke University. She directs the Interpretable Machine Learning Lab, and her goal is to design predictive models that people can understand. Her lab applies machine learning in many areas, such as healthcare, criminal justice, and energy reliability. highest rated war game by gamers