"Joint Frequency-Setting and Pricing Optimization on Multi-Modal Transit Networks at Scale."

Bertsimas, Dimitris, Yee Sian Ng, and Julia Yan. Transportation Science Vol. 54, No. 3 (2020): 839-853.

"Machine Learning Provides Evidence That Stroke Risk is Not Linear: The Non-linear Framingham Stroke Risk Score."

Orfanoudaki, Agni, Emma Chesley, Christian Cadisch, Barry Stein, Amre Nouh, Mark J. Alberts, and Dimitris Bertsimas. PLOS ONE Vol. 15, No. 5 (2020): e0232414. Download Paper.

"Scalable Holistic Linear Regression."

Bertsimas, Dimitris, and Michael Lingzhi Li. Operations Research Letters Vol. 48, No. 3 (2020): 203-208. arXiv Preprint.

"Sparse Hierarchical Regression with Polynomials."

Bertsimas, Dimitris and Bart P. G. Van Parys. Machine Learning Vol. 109, (2020): 973-997.

"Relative Robust and Adaptive Optimization."

Bertsimas, Dimitris, and Iain Dunning. INFORMS Journal of Computing Vol. 32, No. 2 (2020): 408-427.

"The Rise and Fall of the Model for End-stage Liver Disease Score and the Need for an Optimized Machine Learning approach for Liver Allocation Current Opinion in Organ Transplantation."

Vagefi, Parsia A., Dimitris Bertsimas, Ryutaroc Hirose, and Nikos Trichakis. Current Opinion in Organ Transplantation Vol. 25, No. 2 (2020): 122-125.