"Optimization-based Scenario Reduction for Data-Driven Two-stage Stochastic Optimization."

Bertsimas, Dimitris, and Nishanth Mundru. Operations Research Vol. 71, No. 4 (2023): 1343-1361. Download Paper at D-Space. Supplemental Materials.

"Personalized Breast Cancer Screening."

Bertsimas, Dimitris, Yu Ma, and Omid Nohadani. JCO Clinical Cancer Informatics Vol. 7, (2023): e2300026.

"Predictive Performance of Multi-model Ensemble Forecasts of COVID-19 Across European Nations."

Sherratt, Katharine, Hugo Gruson, R. Grah, et al. eLife Vol. 12, (2023): e81916.

"Accelerating Vaccine Innovation for Emerging Infectious Diseases via Parallel Discovery."

Barberio, Joseph, Jacob Becraft, Zied Ben Chaouch, Dimitris Bertsimas, Tasuku Kitada, Michael Li, Andrew W. Lo, Kevin Shi, and Qingyang Xu. In Entrepreneurship and Innovation Policy and the Economy, edited by Benjamin Jones and Josh Lerner, Chicago, IL: University of Chicago Press, 2023.

"A Robust Optimization Approach to Deep Learning."

Bertsimas, Dimitris, Xavier Boix, Kimberly Villalobos Carballo, and Dick den Hertog, MIT Sloan Working Paper 6586-21. Cambridge, MA: MIT Sloan School of Management, April 2023.

"​Holistic Prescriptive Analytics for Continuous and Constrained Optimization Problems."

Bertsimas, Dimitris, and O. Skali Lami. INFORMS Journal of Optimization Vol. 5, No. 2 (2023): 155-171.