"Global Optimization via Optimal Decision Trees."

Bertsimas, Dimitris, and Berk Öztürk, MIT Sloan Working Paper 6852-22. Cambridge, MA: MIT Sloan School of Management, February 2022.

"Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality."

Bertsimas, Dimitris, Ryan Cory-Wright, and Jean Pauphilet. Journal of Machine Learning Research Vol. 23, No. 13 (2022): 1-35. arXiv Preprint.

"​Benchmarking in Congenital Heart Surgery Using Machine Learning-derived Optimal Classification Trees."

Bertsimas, Dimitris, Daisy Zhuo, Jordan Levine, Jack Dunn, Zdzislaw Tobota, Bohdan Maruszewski, Jose Fragata, and George E. Sarris. World Journal for Pediatric and Congenital Heart Surgery Vol. 13, No. 1 (2022): 23-35.

"Ethics-by-Design: Efficient, Fair and Inclusive Resource Allocation Using Machine Learning."

Papalexopoulos, Theodore P., Glenn Cohen, Rebecca R. Goff, Darren E. Stewart, and Nikolaos Trichakis. Journal of Law and the Biosciences Vol. 9, No. 1 (2022): lsac012.

"Machine Learning Models for Mitral Valve Replacement: A Comparative Analysis with the Society of Thoracic Surgeons Risk Score."

Orfanoudaki, Agni, Aikaterini Giannoutsou, Sabet Hashim, Dimitris Bertsimas, and Robert C. Hagberg. Journal of Cardiac Surgery Vol. 37, No. 1 (2022): 18-28.

​Queueing Theory: Classical and Modern Methods.

Bertsimas, Dimitris, and David Gamarnik. Belmont, Massachusetts: Dynamic Ideas, 2022.