"Learning Sparse Nonlinear Dynamics via Mixed-integer Optimization."

Bertsimas, Dimitris, and Wes Gurnee. SIAM Journal of Nonlinear Dynamics Vol. 111, No. 7 (2023): 6585-6604.

"Multistage Stochastic Optimization via Kernels."

Bertsimas, Dimitris, and K. Villalobos Carballo, MIT Sloan Working Paper 6582-21. Cambridge, MA: MIT Sloan School of Management, March 2023.

"Distributionally Robust Causal Inference with Observational Data."

Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li, MIT Sloan Working Paper 6860-22. Cambridge, MA: MIT Sloan School of Management, February 2023.

"A Data-Driven Approach for Multi-Stage Linear Optimization."

Bertsimas, Dimitris, Shimrit Shtern, and Bradley Sturt. Management Science Vol. 69, No. 1 (2023): 51-74. Supplemental Materials.

"Dynamic Optimization with Side Information."

Bertsimas, Dimitris, Christopher McCord, and Bradley Sturt. European Journal of Operational Research Vol. 304, No. 2 (2023): 634-651. arXiv Preprint.

"Forecasting COVID-19 and Analyzing the Effect of Government Interventions."

Lingzhi Li, Michael, Hamza Tazi Bouardi, Omar Skali Lami, Thomas A. Trikalinos, Nikolaos K. Trichakis, and Dimitris Bertsimas. ​Operations Research Vol. 71, No. 1 (2023): 184-201. Download Paper.