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

6

DOWNLOADS
Rank 25,871

SSRN RANKINGS

Top 25,871

in Total Papers Downloads

2,828

SSRN CITATIONS

3

CROSSREF CITATIONS

7

Scholarly Papers (6)

1.

Efficient and Targeted COVID-19 Border Testing via Reinforcement Learning

Number of pages: 45 Posted: 26 Feb 2021 Last Revised: 07 Oct 2021
University of Pennsylvania - The Wharton School, University of Southern California, Data Science and Operations, Marshall School of Business, AgentRisk, University of Thessaly - Laboratory of Hygiene and Epidemiology, 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 1,232 (24,220)
Citation 3

Abstract:

Loading...

COVID-19, public policy, 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 886 (38,795)
Citation 8

Abstract:

Loading...

price discrimination, personalization, market segmentation

3.

Interpretable OR for High-Stakes Decisions: Designing the Greek COVID-19 Testing System

Number of pages: 29 Posted: 09 Sep 2021 Last Revised: 21 Sep 2021
Hamsa Bastani, Kimon Drakopoulos and Vishal Gupta
University of Pennsylvania - The Wharton School, University of Southern California and Data Science and Operations, Marshall School of Business
Downloads 238 (182,515)

Abstract:

Loading...

targeted COVID-19 testing, human-in-the-loop analytics, supply chain design, empirical Bayes, LASSO, reinforcement learning

4.

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 193 (221,725)
Citation 2

Abstract:

Loading...

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

5.

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

Number of pages: 96 Posted: 03 Jun 2021 Last Revised: 03 Aug 2022
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 154 (271,228)

Abstract:

Loading...

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

6.

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 125 (315,529)

Abstract:

Loading...

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