"Policy Analytics in Public School Operations."

Bertsimas, Dimitris, and Arthur Delarue. Operations Research Vol. 71, No. 1 (2023): 289-313.

"Sparse PCA, a Geometric Approach."

Bertsimas, Dimitris, and Driss Lahlou Kitane. Journal of Machine Learning Research Vol. 24, No. 32 (2023): 1-33.

"Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach."

Bertsimas, Dimitris, Ryan Cory-Wright, and Nicholas A.G. Johnson. Journal of Machine Learning Research Vol. 24, (2023): 1-51.

"The Power and Limits of Predictive Approaches to Observational Data-driven Optimization: The Case of Pricing."

Bertsimas, Dimitris and Nathan Kallus. INFORMS Journal on Optimization Vol. 5, No. 1 (2023): 110-129.

"Improving Quality in Cardiothoracic Surgery: Exploiting the Untapped Potential of Machine Learning."

Orfanoudaki, Agni, Joseph A. Dearani, David M. Shahian, Vinay Badhwar, Felix Fernandez, Robert Habib, Michael E. Bowdish, and Dimitris Bertsimas. The Annals of Thoracic Surgery Vol. 114, No. 6 (2022): 1995-2000.

"Mixed-Projection Conic Optimization: A New Paradigm for Modeling Low-Rank Constraints."

Bertsimas, Dimitris, Ryan Cory-Wright, and Jean Pauphilet. Operations Research Vol. 70, No. 6 (2022): 3321-3344. Supplemental Material. arXiv Preprint.