Bart P.G. Van Parys


Bart P.G. Van Parys

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Bart Van Parys is an Assistant Professor in Operations Research and Statistics at the MIT Sloan School of Management.

His research interests are located on the interface between robust optimization and machine learning. He has completed a postdoctoral position at MIT Sloan in the Operations Research and Statistics Group.

Bart holds a BS in electrical engineering and an MS in engineering mathematics from KU Leuven. He received his PhD in control theory at ETH Zurich under the supervision of Prof. Manfred Morari.



"Bootstrap Robust Prescriptive Analytics."

Bertsimas, Dimitris, Bart P.G. Van Parys. Mathematical Programming: 1-40. Forthcoming.

"Distributionally Robust Control and Optimization."

Van Parys, Bart P. G. PhD diss., 2015.

"Distributionally Robust Control of Constrained Stochastic Systems."

Van Parys, Bart P. G., Daniel Kuhn, Paul J. Goulart, and Manfred Morari. IEEE Transactions on Automatic Control Vol. 61, No. 2 (2016): 430-442. Download Paper.

"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.

"Exterior-point Optimization for Nonconvex Learning."

Gupta, Shuvomoy Das, Bartolomeo Stellato, and Bart P.G. Van Parys, MIT Sloan Working Paper 6521-20. Cambridge, MA: MIT Sloan School of Management, December 2021.

"From Data to Decisions: Distributionally Robust Optimization is Optimal."

Van Parys, Bart P.G., Peyman Mohajerin Esfahani, and Daniel Kuhn. Management Science Vol. 67, No. 6 (2021): 3387–3402. arXiv Preprint.

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