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Vishal Gupta

Orcid: 0000-0003-4371-9114

Affiliations:
  • University of Southern California, Marshall School of Business, Los Angeles, CA, USA
  • Massachusetts Institute of Technology, Operations Research Center, Cambridge, MA, USA


According to our database1, Vishal Gupta authored at least 17 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

Online presence:

On csauthors.net:

Bibliography

2024
Learning Best-in-Class Policies for the Predict-then-Optimize Framework.
[BibTeX]
[DOI]
Michael Huang
,
Vishal Gupta
CoRR, 2024

2023
Balanced Off-Policy Evaluation for Personalized Pricing.
[BibTeX]
[DOI]
Adam N. Elmachtoub
,
Vishal Gupta
,
Yunfan Zhao
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Data Pooling in Stochastic Optimization.
[BibTeX]
[DOI]
Vishal Gupta
,
Nathan Kallus
Manag. Sci., 2022

Interpretable Operations Research for High-Stakes Decisions: Designing the Greek COVID-19 Testing System.
[BibTeX]
[DOI]
Hamsa Bastani
,
Kimon Drakopoulos
,
Vishal Gupta
,
Jon Vlachogiannis
,
Christos Hadjichristodoulou
,
Pagona Lagiou
,
Gkikas Magiorkinis
,
Dimitrios Paraskevis
,
Sotirios Tsiodras
INFORMS J. Appl. Anal., 2022

2021
Efficient and targeted COVID-19 border testing via reinforcement learning.
[BibTeX]
[DOI]
Hamsa Bastani
,
Kimon Drakopoulos
,
Vishal Gupta
,
Ioannis Vlachogiannis
,
Christos Hadjichristodoulou
,
Pagona Lagiou
,
Gkikas Magiorkinis
,
Dimitrios Paraskevis
,
Sotirios Tsiodras
Nat., 2021

Small-Data, Large-Scale Linear Optimization with Uncertain Objectives.
[BibTeX]
[DOI]
Vishal Gupta
,
Paat Rusmevichientong
Manag. Sci., 2021

The Value of Personalized Pricing.
[BibTeX]
[DOI]
Adam N. Elmachtoub
,
Vishal Gupta
,
Michael L. Hamilton
Manag. Sci., 2021

Debiasing In-Sample Policy Performance for Small-Data, Large-Scale Optimization.
[BibTeX]
[DOI]
Vishal Gupta
,
Michael Huang
,
Paat Rusmevichientong
CoRR, 2021

2020
Maximizing Intervention Effectiveness.
[BibTeX]
[DOI]
Vishal Gupta
,
Brian Rongqing Han
,
Song-Hee Kim
,
Hyung Paek
Manag. Sci., 2020

2019
Near-Optimal Bayesian Ambiguity Sets for Distributionally Robust Optimization.
[BibTeX]
[DOI]
Vishal Gupta
Manag. Sci., 2019

2018
Robust sample average approximation.
[BibTeX]
[DOI]
Dimitris Bertsimas
,
Vishal Gupta
,
Nathan Kallus
Math. Program., 2018

Data-driven robust optimization.
[BibTeX]
[DOI]
Dimitris Bertsimas
,
Vishal Gupta
,
Nathan Kallus
Math. Program., 2018

2017
A comparison of Monte Carlo tree search and rolling horizon optimization for large-scale dynamic resource allocation problems.
[BibTeX]
[DOI]
Dimitris Bertsimas
,
J. Daniel Griffith
,
Vishal Gupta
,
Mykel J. Kochenderfer
,
Velibor V. Misic
Eur. J. Oper. Res., 2017

2015
Data-driven estimation in equilibrium using inverse optimization.
[BibTeX]
[DOI]
Dimitris Bertsimas
,
Vishal Gupta
,
Ioannis Ch. Paschalidis
Math. Program., 2015

A Course on Advanced Software Tools for Operations Research and Analytics.
[BibTeX]
[DOI]
Iain Dunning
,
Vishal Gupta
,
Angela King
,
Jerry Kung
,
Miles Lubin
,
John Silberholz
INFORMS Trans. Educ., 2015

2014
A Comparison of Monte Carlo Tree Search and Mathematical Optimization for Large Scale Dynamic Resource Allocation.
[BibTeX]
[DOI]
Dimitris Bertsimas
,
J. Daniel Griffith
,
Vishal Gupta
,
Mykel J. Kochenderfer
,
Velibor V. Misic
,
Robert J. Moss
CoRR, 2014

2012
Inverse Optimization: A New Perspective on the Black-Litterman Model.
[BibTeX]
[DOI]
Dimitris Bertsimas
,
Vishal Gupta
,
Ioannis Ch. Paschalidis
Oper. Res., 2012


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