Inverse Optimization: A New Perspective on the Black-Litterman Model. - Dimitris Bertsimas; Vishal Gupta 004; Ioannis Ch. Paschalidis (Oper. Res., 2012)

A Comparison of Monte Carlo Tree Search and Mathematical Optimization for Large Scale Dynamic Resource Allocation. - Dimitris Bertsimas; J. Daniel Griffith; Vishal Gupta 004; Mykel J. Kochenderfer; Velibor V. Misic; Robert J. Moss (CoRR, 2014)

A Course on Advanced Software Tools for Operations Research and Analytics. - Iain Dunning; Vishal Gupta 004; Angela King; Jerry Kung; Miles Lubin; John Silberholz (INFORMS Trans. Educ., 2015)

Data-driven estimation in equilibrium using inverse optimization. - Dimitris Bertsimas; Vishal Gupta 004; Ioannis Ch. Paschalidis (Math. Program., 2015)

A comparison of Monte Carlo tree search and rolling horizon optimization for large-scale dynamic resource allocation problems. - Dimitris Bertsimas; J. Daniel Griffith; Vishal Gupta 004; Mykel J. Kochenderfer; Velibor V. Misic (Eur. J. Oper. Res., 2017)

Data-driven robust optimization. - Dimitris Bertsimas; Vishal Gupta 004; Nathan Kallus (Math. Program., 2018)

Robust sample average approximation. - Dimitris Bertsimas; Vishal Gupta 004; Nathan Kallus (Math. Program., 2018)

Near-Optimal Bayesian Ambiguity Sets for Distributionally Robust Optimization. - Vishal Gupta 004 (Manag. Sci., 2019)

Maximizing Intervention Effectiveness. - Vishal Gupta 004; Brian Rongqing Han; Song-Hee Kim; Hyung Paek (Manag. Sci., 2020)

The Value of Personalized Pricing. - Adam N. Elmachtoub; Vishal Gupta 004; Michael L. Hamilton (Manag. Sci., 2021)

Small-Data, Large-Scale Linear Optimization with Uncertain Objectives. - Vishal Gupta 004; Paat Rusmevichientong (Manag. Sci., 2021)

Efficient and targeted COVID-19 border testing via reinforcement learning. - Hamsa Bastani; Kimon Drakopoulos; Vishal Gupta 004; Ioannis Vlachogiannis; Christos Hadjichristodoulou; Pagona Lagiou; Gkikas Magiorkinis; Dimitrios Paraskevis; Sotirios Tsiodras (Nat., 2021)

Interpretable Operations Research for High-Stakes Decisions: Designing the Greek COVID-19 Testing System. - Hamsa Bastani; Kimon Drakopoulos; Vishal Gupta 004; Jon Vlachogiannis; Christos Hadjichristodoulou; Pagona Lagiou; Gkikas Magiorkinis; Dimitrios Paraskevis; Sotirios Tsiodras (INFORMS J. Appl. Anal., 2022)

Data Pooling in Stochastic Optimization. - Vishal Gupta 004; Nathan Kallus (Manag. Sci., 2022)

Balanced Off-Policy Evaluation for Personalized Pricing. - Adam N. Elmachtoub; Vishal Gupta 004; Yunfan Zhao (AISTATS, 2023)

Decision-Focused Learning with Directional Gradients. - Michael Huang; Vishal Gupta 004 (NeurIPS, 2024)

Learning Best-in-Class Policies for the Predict-then-Optimize Framework. - Michael Huang; Vishal Gupta 004 (CoRR, 2024)

Debiasing In-Sample Policy Performance for Small-Data, Large-Scale Optimization. - Vishal Gupta 004; Michael Huang; Paat Rusmevichientong (Oper. Res., 2024)