"Multitarget Tracking via Mixed Integer Optimization."

Bertsimas, Dimitris, Zachary Saunders, and Shimrit Shtern. IEEE Transactions on Automatic Control Vol. 63, No. 11 (2018): 3627-3642.

"Surgical Risk Is Not Linear: Derivation and Validation of a Novel, User-friendly, and Machine-learning-based Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) Calculator."

Bertsimas, Dimitris, Jack Dunn, George Velmahos, and Haytham M. Kaafarani. Annals of Surgery Vol. 268, No. 4 (2018): 574-583.

"Robust Sample Average Approximation."

Bertsimas, Dimitris, Vishal Gupta, and Nathan Kallus. Mathematical Programming Vol. 171, No. 1-2 (2018): 217–282. arXiv Preprint.

"From Predictive Methods to Missing Data Imputation: An Optimization Approach."

Bertsimas, Dimitris, Colin Pawlowski, and Ying Daisy Zhuo. Journal of Machine Learning Research Vol. 18, No. 196 (2018): 1-39. Download Paper.

"Robust Transient Analysis of Multi-server Queueing Systems and Feed-forward Networks."

Bandi, Chaithanya, Dimitris Bertsimas, and Nataly Youssef. Queueing Systems Vol. 84, No. 3-4 (2018): 351-413.

"From Physical Properties of Transportation Flows to Demand Predictions: An Optimization Approach."

Bertsimas, Dimitris, and Julia Yan. Transportation Science Vol. 52, No. 4 (2018): 1002-1011.