Yaron Shaposhnik - researchr alias

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Viewing Publication 1 - 8 from 8

2023

Visualizing the Implicit Model Selection TradeoffZezhen He, Yaron Shaposhnik. jair, 76:829-881, 2023. [doi]

Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application to Credit-Risk EvaluationCynthia Rudin, Yaron Shaposhnik. jmlr, 24, 2023. [doi]

2022

A holistic approach to interpretability in financial lending: Models, visualizations, and summary-explanationsChaofan Chen, Kangcheng Lin, Cynthia Rudin, Yaron Shaposhnik, Sijia Wang, Tong Wang 0011. dss, 152:113647, 2022. [doi]

A Polynomial-Time Approximation Scheme for Sequential Batch Testing of Series SystemsDanny Segev, Yaron Shaposhnik. ior, 70(2):1153-1165, 2022. [doi]

2021

Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMap, and PaCMAP for Data VisualizationYingfan Wang, Haiyang Huang, Cynthia Rudin, Yaron Shaposhnik. jmlr, 22, 2021. [doi]

2020

Mining Optimal Policies: A Pattern Recognition Approach to Model AnalysisFernanda Bravo, Yaron Shaposhnik. informsjop, 2(3):145-166, July 2020. [doi]

2019

Scheduling with TestingRetsef Levi, Thomas L. Magnanti, Yaron Shaposhnik. mansci, 65(2):776-793, 2019. [doi]

2015

Optimal ordering for a probabilistic one-time discountYaron Shaposhnik, Yale T. Herer, Hussein Naseraldin. eor, 244(3):803-814, 2015. [doi]

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