"Sparse Classification: A Scalable Discrete Optimization Perspective."

Bertsimas, Dimitris, Jean Pauphilet, and Bart Van Parys. Machine Learning Vol. 110, No. 1-2 (2021): 3177-3209. arXiv Preprint.

"Toward an Optimized Staging System for Pancreatic Ductal Adenocarcinoma: A Clinically Interpretable, Artificial Intelligence–Based Model."

Bertsimas et al. JCO Clinical Cancer Informatics Vol. 5, (2021): 1220-1231.

"Optimizing Influenza Vaccine Composition: A Machine Learning Approach."

Bandi, Hari, and Dimitris Bertsimas. Naval Research Logistics Vol. 68, No. 7 (2021): 857-870.

"Probabilistic Guarantees in Robust Optimization."

Bertsimas, Dimitris, Dick den Hertog, and Jean Pauphilet. SIAM Journal of Optimization Vol. 31, No. 4 (2021): 2893-2920. Download Paper.

"Machine Learning for Real-Time Heart Disease Prediction."

Bertsimas, Dimitris, Luca Mingardi, and Bartolomeo Stellato. IEEE Journal of Biomedical and Health Informatics Vol. 25, No. 9 (2021): 3627-3637.

"A Pre-registered Short-term Forecasting Study of COVID-19 in Germany and Poland During the Second Wave."

Bracher, J., et al. Nature Communications Vol. 12, No. 1 (2021): 5173. Download Paper.