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ORCIDVishal Gupta 0004
Person information
- affiliation: University of Southern California, Marshall School of Business, Los Angeles, CA, USA
- affiliation: Massachusetts Institute of Technology, Operations Research Center, Cambridge, MA, USA
Other persons with the same name
- Vishal Gupta — disambiguation page
- Vishal Gupta 0001 — Google (and 2 more)
- Vishal Gupta 0002
![[0000-0002-2909-902X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2909-902X")
— University of Rome Tor Vergata, Department of Electronic Engineering, Italy - Vishal Gupta 0003 — Georgia Institute of Technology, Analog and Power IC Design Lab, Atlanta, GA, USA
- Vishal Gupta 0005 — Maharishi Markandeshwar University, Mullana, Department of Mathematics, Ambala, India (and 1 more)
- Vishal Gupta 0006 — Indian Institute of Technology, Kanpur, Department of Computer Science and Engineering, India
- Vishal Gupta 0007 — Panjab University, Institute of Engineering and Technology, Chandigarh, India
- Vishal Gupta 0008 — Technical University of Madrid, Spain
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2020 – today
- 2024
[j14]Vishal Gupta, Michael Huang, Paat Rusmevichientong:
Debiasing In-Sample Policy Performance for Small-Data, Large-Scale Optimization. Oper. Res. 72(2): 848-870 (2024)- [i5]Michael Huang, Vishal Gupta:
Learning Best-in-Class Policies for the Predict-then-Optimize Framework. CoRR abs/2402.03256 (2024) - 2023
- [c2]Adam N. Elmachtoub, Vishal Gupta, Yunfan Zhao:
Balanced Off-Policy Evaluation for Personalized Pricing. AISTATS 2023: 10901-10917 - [i4]Adam N. Elmachtoub, Vishal Gupta, Yunfan Zhao:
Balanced Off-Policy Evaluation for Personalized Pricing. CoRR abs/2302.12736 (2023) - 2022
- [j13]Hamsa Bastani, Kimon Drakopoulos, Vishal Gupta, Jon Vlachogiannis, Christos Hadjichristodoulou, Pagona Lagiou, Gkikas Magiorkinis, Dimitrios Paraskevis, Sotirios Tsiodras:
Interpretable Operations Research for High-Stakes Decisions: Designing the Greek COVID-19 Testing System. INFORMS J. Appl. Anal. 52(5): 398-411 (2022) - [j12]Vishal Gupta, Nathan Kallus:
Data Pooling in Stochastic Optimization. Manag. Sci. 68(3): 1595-1615 (2022) - 2021
- [j11]Vishal Gupta, Paat Rusmevichientong:
Small-Data, Large-Scale Linear Optimization with Uncertain Objectives. Manag. Sci. 67(1): 220-241 (2021) - [j10]Adam N. Elmachtoub, Vishal Gupta, Michael L. Hamilton:
The Value of Personalized Pricing. Manag. Sci. 67(10): 6055-6070 (2021) - [j9]Hamsa Bastani, Kimon Drakopoulos, Vishal Gupta, Ioannis Vlachogiannis, Christos Hadjichristodoulou, Pagona Lagiou, Gkikas Magiorkinis, Dimitrios Paraskevis, Sotirios Tsiodras:
Efficient and targeted COVID-19 border testing via reinforcement learning. Nat. 599(7883): 108-113 (2021) - [i3]Vishal Gupta, Michael Huang, Paat Rusmevichientong:
Debiasing In-Sample Policy Performance for Small-Data, Large-Scale Optimization. CoRR abs/2107.12438 (2021) - 2020
- [j8]Vishal Gupta, Brian Rongqing Han, Song-Hee Kim, Hyung Paek:
Maximizing Intervention Effectiveness. Manag. Sci. 66(12): 5576-5598 (2020)
2010 – 2019
- 2019
- [j7]Vishal Gupta:
Near-Optimal Bayesian Ambiguity Sets for Distributionally Robust Optimization. Manag. Sci. 65(9): 4242-4260 (2019) - [c1]Adam N. Elmachtoub, Vishal Gupta, Michael L. Hamilton:
The Value of Personalized Pricing. WINE 2019: 338 - [i2]Vishal Gupta, Nathan Kallus:
Data-Pooling in Stochastic Optimization. CoRR abs/1906.00255 (2019) - 2018
- [j6]Dimitris Bertsimas, Vishal Gupta, Nathan Kallus:
Data-driven robust optimization. Math. Program. 167(2): 235-292 (2018) - [j5]Dimitris Bertsimas, Vishal Gupta, Nathan Kallus:
Robust sample average approximation. Math. Program. 171(1-2): 217-282 (2018) - 2017
- [j4]Dimitris Bertsimas, J. Daniel Griffith, Vishal Gupta, Mykel J. Kochenderfer, Velibor V. Misic:
A comparison of Monte Carlo tree search and rolling horizon optimization for large-scale dynamic resource allocation problems. Eur. J. Oper. Res. 263(2): 664-678 (2017) - 2015
- [j3]Iain Dunning, Vishal Gupta, Angela King, Jerry Kung, Miles Lubin, John Silberholz:
A Course on Advanced Software Tools for Operations Research and Analytics. INFORMS Trans. Educ. 15(2): 169-179 (2015) - [j2]Dimitris Bertsimas, Vishal Gupta, Ioannis Ch. Paschalidis:
Data-driven estimation in equilibrium using inverse optimization. Math. Program. 153(2): 595-633 (2015) - 2014
- [i1]Dimitris Bertsimas, J. Daniel Griffith, Vishal Gupta, Mykel J. Kochenderfer, Velibor V. Misic, Robert J. Moss:
A Comparison of Monte Carlo Tree Search and Mathematical Optimization for Large Scale Dynamic Resource Allocation. CoRR abs/1405.5498 (2014) - 2012
- [j1]Dimitris Bertsimas, Vishal Gupta, Ioannis Ch. Paschalidis:
Inverse Optimization: A New Perspective on the Black-Litterman Model. Oper. Res. 60(6): 1389-1403 (2012)
Coauthor Index
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