Vishal Gupta

Data Science and Operations, Marshall School of Business

Assistant Professor

Marshall School of Business

BRI 401, 3670 Trousdale Parkway

Los Angeles, CA 90089

United States

http://www-bcf.usc.edu/~guptavis/

SCHOLARLY PAPERS

5

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Top 30,820

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1,911

SSRN CITATIONS
Rank 49,610

SSRN RANKINGS

Top 49,610

in Total Papers Citations

7

CROSSREF CITATIONS

6

Scholarly Papers (5)

1.

Deploying an Artificial Intelligence System for COVID-19 Testing at the Greek Border

Number of pages: 36 Posted: 26 Feb 2021
University of Pennsylvania - The Wharton School, University of Southern California, Data Science and Operations, Marshall School of Business, AgentRisk, University of Thessaly, National and Kapodistrian University of Athens, National and Kapodistrian University of Athens, National and Kapodistrian University of Athens and National and Kapodistrian University of Athens - 4th Department of Internal Medicine
Downloads 918 (30,852)
Citation 3

Abstract:

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COVID-19, public policy, artificial intelligence, targeted testing, contextual bandits

2.

The Value of Personalized Pricing

Number of pages: 57 Posted: 02 Mar 2018 Last Revised: 13 May 2020
Department of Industrial Engineering and Operations Research & Data Science Institute, Columbia University, Data Science and Operations, Marshall School of Business and University of Pittsburgh - Katz Graduate School of Business
Downloads 731 (42,202)
Citation 8

Abstract:

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price discrimination, personalization, market segmentation

3.

Small-Data, Large-Scale Linear Optimization with Uncertain Objectives

Number of pages: 92 Posted: 07 Nov 2017 Last Revised: 13 Jan 2021
Vishal Gupta and Paat Rusmevichientong
Data Science and Operations, Marshall School of Business and University of Southern California - Marshall School of Business
Downloads 158 (226,392)
Citation 2

Abstract:

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data-driven optimization, small-data large-scale regime, stein's unbiased risk estimation

4.

Data-Pooling in Stochastic Optimization

Number of pages: 81 Posted: 13 Jun 2019 Last Revised: 08 Sep 2020
Vishal Gupta and Nathan Kallus
Data Science and Operations, Marshall School of Business and Cornell University - Cornell Tech NYC
Downloads 89 (342,879)

Abstract:

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Data-driven optimization, Small-data, large-scale regime, Shrinkage, James-Stein Estimation

5.

Debiasing In-Sample Policy Performance for Small-Data, Large-Scale Optimization

Number of pages: 44 Posted: 03 Jun 2021
Data Science and Operations, Marshall School of Business, University of Southern California - Data Sciences and Operations and University of Southern California - Marshall School of Business
Downloads 15 (663,548)

Abstract:

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Data-driven optimization. Small-data, large-scale regime. Cross-validation. Large-scale optimization.