"​The Backbone Method for Ultra-High Dimensional Sparse Machine Learning."

Bertsimas, Dimitris, and Vassilis Digalakis. Machine Learning Vol. 111, (2022): 2161–2212.

"Using Artificial Intelligence to Find the Optimal Margin Width in Hepatectomy for Colorectal Cancer Liver Metastases."

Bertsimas, Dimitris, Georgios Antonios Margonis, Suleeporn Sujichantararat, et al. Jama Surgery Vol. 157, No. 8 (2022): e221819.

"Validation of the Artificial Intelligence-based Trauma Outcomes Predictor (TOP) in Patients 65 Years and Older."

Hechi, Majed El , Anthony Gebran, Hamza Tazi Bouardi, Lydia R. Maurer, Mohamad El Moheb, Daisy Zhuo, Jack Dunn, Dimitris Bertsimas, George C. Velmahos, and Haytham M.A. Kaafarani. Surgery Vol. 171, No. 6 (2022): 1687-1694.

"World-Class Interpretable Poker."

Bertsimas, Dimitris, and Alex Paskov. Machine Learning Vol. 111, (2022): 3063-3083. Download Paper.

"A Scalable Algorithm For Sparse Portfolio Selection."

Bertsimas, Dimitris, and Ryan Cory-Wright. INFORMS Journal of Computing Vol. 34, No. 3 (2022): 1489-1511. Supplemental Material. arXiv Preprint.

"Computation of Convex Hull Prices in Electricity Markets with Non-Convexities using Dantzig-Wolfe Decomposition."

Andrianesis, Panagiotis, Dimitris Bertsimas, Michael C. Caramanis, and William W. Hogan. IEEE Transactions on Power Systems Vol. 37, No. 4 (2022): 2578-2589. arXiv Preprint.