"Stable Regression: On the Power of Optimization over Randomization in Training Regression Problems."

Bertsimas, Dimitris, and Ivan Paskov. Journal of Machine Learning Research Vol. 21, No. 230 (2020): 1-25. Download Paper.

"Robust and Stochastic Formulations for Ambulance Deployment and Dispatch."

Bertsimas, Dimitris, and Yee Sian Ng. European Journal of Operations Research Vol. 279, No. 2 (2019): 557-571.

"Slowly Varying Regression under Sparsity."

Bertsimas, Dimitris, Vassilis Digalakis Jr., Michael Lingzhi Li, and Omar Skali Lami, MIT Sloan Working Paper 6576-19. Cambridge, MA: MIT Sloan School of Management, November 2019.

"Prediction of Cervical Spine Injury in Young Pediatric Patients: An Optimal Trees Artificial Intelligence Approach."

Bertsimas, Dimitris, Peter T. Masiakos, Konstantinos Mylonas, and Holly Wiberg. Journal of Pediatric Surgery Vol. 54, No. 11 (2019): 2353-2357.

"Certifiably Optimal Sparse Principal Component Analysis."

Bertsimas, Dimitris, and Lauren Berk. Mathematical Programming Computation Vol. 11, (2019): 381-420. SPCA Software.

"Clinical Benefit, Toxicity and Cost of Metastatic Breast Cancer Therapies: Systematic Review and Meta-analysis."

Silberholz, John, Dimitris Bertsimas, and Linda Vahdat. Breast Cancer Research and Treatment Vol. 146, No. 3 (2019): 535-543.