"Learning and Decision-Making with Data: Optimal Formulations and Phase Transitions."

Bennouna, Mohammed Amine and Bart P.G. Van Parys, MIT Sloan Working Paper 6519-21. Cambridge, MA: MIT Sloan School of Management, 2021.

"Optimal Transport in the Face of Noisy Data."

Van Parys, Bart P.G., MIT Sloan Working Paper 6520-21. Cambridge, MA: MIT Sloan School of Management, 2021.

"Rejoinder: Sparse Regression: Scalable Algorithms and Empirical Performance."

Bertsimas,Dimitris, Jean Pauphilet, and Bart P.G. Van Parys. Statistical Science, November 2020.

"Sparse Regression: Scalable Algorithms and Empirical Performance."

Bertsimas, Dimitris, Jean Pauphilet, and Bart P.G. Van Parys. Statistical Science Vol. 35, No. 4 (2020): 555-578. Download Preprint.

"Sparse Hierarchical Regression with Polynomials."

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

"Distributionally Robust Expectation Inequalities for Structured Distributions."

Van Parys, Bart P. G., Paul J. Goulart, and Manfred Morari. Mathematical Programming Vol. 173, No. 1-2 (2019): 251-280. Download Paper.