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

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Debiasing In-Sample Policy Performance for Small-Data, Large-Scale Optimization.
Oper. Res., 2024

Learning Best-in-Class Policies for the Predict-then-Optimize Framework.
CoRR, 2024

2023
Balanced Off-Policy Evaluation for Personalized Pricing.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Data Pooling in Stochastic Optimization.
Manag. Sci., 2022

Interpretable Operations Research for High-Stakes Decisions: Designing the Greek COVID-19 Testing System.
INFORMS J. Appl. Anal., 2022

2021
Efficient and targeted COVID-19 border testing via reinforcement learning.
Nat., 2021

Small-Data, Large-Scale Linear Optimization with Uncertain Objectives.
Manag. Sci., 2021

The Value of Personalized Pricing.
Manag. Sci., 2021

2020
Maximizing Intervention Effectiveness.
Manag. Sci., 2020

2019
Near-Optimal Bayesian Ambiguity Sets for Distributionally Robust Optimization.
Manag. Sci., 2019

2018
Robust sample average approximation.
Math. Program., 2018

Data-driven robust optimization.
Math. Program., 2018

2017
A comparison of Monte Carlo tree search and rolling horizon optimization for large-scale dynamic resource allocation problems.
Eur. J. Oper. Res., 2017

2015
Data-driven estimation in equilibrium using inverse optimization.
Math. Program., 2015

A Course on Advanced Software Tools for Operations Research and Analytics.
INFORMS Trans. Educ., 2015

2014
A Comparison of Monte Carlo Tree Search and Mathematical Optimization for Large Scale Dynamic Resource Allocation.
CoRR, 2014

2012
Inverse Optimization: A New Perspective on the Black-Litterman Model.
Oper. Res., 2012


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