Research

IEOR researchers investigate the latest mathematical tools, approaches, and methodologies to make new theoretical discoveries and innovations that touch nearly every industry, making them more efficient and profitable in areas such as supply chain, logistics, manufacturing, data science, energy systems, robotics, and management.

Selected Publications

Smart “Predict, then Optimize”

Elmachtoub, Adam & Grigas, Paul. (2017). Smart “Predict, then Optimize”. Management Science. 68. 10.1287/mnsc.2020.3922.

Generalization Bounds in the Predict-then-Optimize Framework

El Balghiti, Othman & Elmachtoub, Adam & Grigas, Paul & Tewari, Ambuj. (2019). Generalization Bounds in the Predict-then-Optimize Framework.

Asymptotically Optimal Competitive Ratio for Online Allocation of Reusable Resources

Goyal, V., Iyengar, G., & Udwani, R. (2020). Asymptotically Optimal Competitive Ratio for Online Allocation of Reusable Resources.

Periodic Reranking for Online Matching of Reusable Resources

Udwani, Rajan. (2022). Periodic Reranking for Online Matching of Reusable Resources. 966-966. 10.1145/3490486.3538344.

Online Bipartite Matching with Reusable Resources

Delong, Steven and Farhadi, Alireza and Niazadeh, Rad and Sivan, Balasubramanian and Udwani, Rajan, Online Bipartite Matching with Reusable Resources (October 23, 2022). Available at SSRN: https://ssrn.com/abstract=4256240 or http://dx.doi.org/10.2139/ssrn.4256240

Adwords with Unknown Budgets and Beyond

Udwani, Rajan. “Adwords with Unknown Budgets and Beyond.” (2021).