Yaron Shaposhnik

Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization

Yingfan Wang, Haiyang Huang, Cynthia Rudin et al. · arXiv (Cornell University) · 2020 · 239 citations · Full text

Engineering, Machine Learning, Data Visualization +26

An Interpretable Model with Globally Consistent Explanations for Credit Risk

Chaofan Chen, Kangcheng Lin, Cynthia Rudin et al. · arXiv (Cornell University) · 2018 · 65 citations · Full text

Artificial Intelligence, Structured Prediction, Engineering +25

A holistic approach to interpretability in financial lending: Models, visualizations, and summary-explanations

Chaofan Chen, Kangcheng Lin, Cynthia Rudin et al. · Decision Support Systems · 2021 · 47 citations

Holistic Approach, Management, Business +8

Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application to Credit-Risk Evaluation

Cynthia Rudin, Yaron Shaposhnik · SSRN Electronic Journal · 2019 · 41 citations · Full text

Scheduling with Testing

Retsef Levi, Thomas L. Magnanti, Yaron Shaposhnik · Management Science · 2018 · 31 citations

Mathematical Programming, Service Provider, Engineering +21