Yaron Shaposhnik

University of Rochester - Simon Business School

Rochester, NY 14627

United States

  • University of Rochester - Simon Business School

SCHOLARLY PAPERS

9

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Scholarly Papers (9)

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1.

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

https://www.jmlr.org/papers/volume24/21-0488/21-0488.pdf
Number of pages: 44 Posted: 12 Jun 2019 Last Revised: 23 Jan 2023
Cynthia Rudin and Yaron Shaposhnik
Duke University - Department of Computer Science and University of Rochester - Simon Business School
Downloads 956 (40,941)
Citation 1

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Explainable Artificial Intelligence (XAI), Local Explanations, Interpretability, Credit Risk

2.

Mining Optimal Policies: A Pattern Recognition Approach to Model Analysis

Number of pages: 44 Posted: 27 Nov 2017 Last Revised: 22 Aug 2018
Fernanda Bravo and Yaron Shaposhnik
University of California, Los Angeles (UCLA) - Anderson School of Management and University of Rochester - Simon Business School
Downloads 320 (158,490)

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Mathematical modeling, Machine learning, Dynamic programming, Interpretability

3.

Simple Rules for Predicting Congestion Risk in Queueing Systems: Application to ICUs

Number of pages: 50 Posted: 15 May 2019 Last Revised: 07 Aug 2020
Fernanda Bravo, Cynthia Rudin, Yaron Shaposhnik and Yuting Yuan
University of California, Los Angeles (UCLA) - Anderson School of Management, Duke University - Department of Computer Science, University of Rochester - Simon Business School and University of Rochester - Simon Business School
Downloads 309 (164,430)

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Congestion; Queueing systems; Prediction; Service operation; Machine learning; Interpretability; ICU

4.

The Pandora's Box Problem with Sequential Inspections

Number of pages: 60 Posted: 13 Mar 2021 Last Revised: 10 Jul 2023
Ali Aouad, Jingwei Ji and Yaron Shaposhnik
London Business School, University of Southern California and University of Rochester - Simon Business School
Downloads 290 (175,817)
Citation 2

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pandora's box problem, dynamic programming, approximate algorithms

5.

Stochastic Selection Problems with Testing

Number of pages: 29 Posted: 11 Dec 2017
Chen Attias, Robert Krauthgamer, Retsef Levi and Yaron Shaposhnik
Weizmann Institute of Science, Weizmann Institute of Science, MIT Sloan School of Management - Operations Research Center and University of Rochester - Simon Business School
Downloads 155 (314,716)

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Selection, Testing, Dynamic programming, Approximation algorithms, Myopic policies

6.

Waiting-Time Prediction with Invisible Customers

Number of pages: 43 Posted: 25 Oct 2021 Last Revised: 06 Nov 2021
Yoav Kerner, Ricky Roet-Green, Arik Senderovich, Yaron Shaposhnik and Yuting Yuan
Ben-Gurion University of the Negev, University of Rochester - Simon Business School, University of Toronto, University of Rochester - Simon Business School and University of Rochester - Simon Business School
Downloads 135 (351,622)

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waiting time prediction, queues, invisible customers, machine learning.

7.

An Adaptive SPT Rule for Scheduling and Testing Heterogeneous Jobs

Number of pages: 57 Posted: 13 Aug 2019
Retsef Levi, Thomas L. Magnanti and Yaron Shaposhnik
MIT Sloan School of Management - Operations Research Center, Massachusetts Institute of Technology (MIT) and University of Rochester - Simon Business School
Downloads 124 (374,774)
Citation 2

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Dynamic Programming, Maintenance, Diagnosis, Scheduling

8.

A Polynomial-Time Approximation Scheme for Sequential Batch Testing of Series Systems

Number of pages: 32 Posted: 29 Nov 2018
Danny Segev and Yaron Shaposhnik
Tel Aviv University - School of Mathematical Sciences and University of Rochester - Simon Business School
Downloads 120 (384,024)
Citation 1

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sequential testing, approximation algorithms, PTAS, dynamic programming

9.

Visualizing The Implicit Model Selection Tradeoff

He, Zezhen, and Yaron Shaposhnik. "Visualizing the Implicit Model Selection Tradeoff." Journal of Artificial Intelligence Research 76 (2023): 829-881.
Number of pages: 56 Posted: 25 Oct 2021 Last Revised: 04 Apr 2023
Zezhen (Dawn) He and Yaron Shaposhnik
University of Rochester - Simon Business School and University of Rochester - Simon Business School
Downloads 87 (478,262)

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Model selection, Interpretability, Machine learning, Visualization