Infinite-horizon performance bounds for constrained stochastic systems. - Bart P. G. Van Parys; Paul J. Goulart; Manfred Morari (CDC, 2012)

Infinite Horizon Performance Bounds for Uncertain Constrained Systems. - Bart P. G. Van Parys; Paul J. Goulart; Manfred Morari (IEEE Trans. Autom. Control., 2013)

Generalized Gauss inequalities via semidefinite programming. - Bart P. G. Van Parys; Paul J. Goulart; Daniel Kuhn 001 (Math. Program., 2016)

Distributionally Robust Control of Constrained Stochastic Systems. - Bart P. G. Van Parys; Daniel Kuhn 001; Paul J. Goulart; Manfred Morari (IEEE Trans. Autom. Control., 2016)

Distributionally robust expectation inequalities for structured distributions. - Bart P. G. Van Parys; Paul J. Goulart; Manfred Morari (Math. Program., 2019)

Sparse hierarchical regression with polynomials. - Dimitris Bertsimas; Bart P. G. Van Parys (Mach. Learn., 2020)

Optimal Transport in the Face of Noisy Data. - Bart P. G. Van Parys (CoRR, 2021)

Learning and Decision-Making with Data: Optimal Formulations and Phase Transitions. - M. Amine Bennouna; Bart P. G. Van Parys (CoRR, 2021)

From Data to Decisions: Distributionally Robust Optimization Is Optimal. - Bart P. G. Van Parys; Peyman Mohajerin Esfahani; Daniel Kuhn 001 (Manag. Sci., 2021)

Sparse classification: a scalable discrete optimization perspective. - Dimitris Bertsimas; Jean Pauphilet; Bart P. G. Van Parys (Mach. Learn., 2021)

Holistic Robust Data-Driven Decisions. - M. Amine Bennouna; Bart P. G. Van Parys (CoRR, 2022)

Bootstrap robust prescriptive analytics. - Dimitris Bertsimas; Bart P. G. Van Parys (Math. Program., 2022)

Certified Robust Neural Networks: Generalization and Corruption Resistance. - M. Amine Bennouna; Ryan Lucas; Bart P. G. Van Parys (ICML, 2023)

Smoothed f-Divergence Distributionally Robust Optimization: Exponential Rate Efficiency and Complexity-Free Calibration. - Zhenyuan Liu; Bart P. G. Van Parys; Henry Lam (CoRR, 2023)

From Distributional Robustness to Robust Statistics: A Confidence Sets Perspective. - Gabriel Chan; Bart P. G. Van Parys; M. Amine Bennouna (CoRR, 2024)

A Pareto Dominance Principle for Data-Driven Optimization. - Tobias Sutter; Bart P. G. Van Parys; Daniel Kuhn 001 (Oper. Res., 2024)

Optimal Learning for Structured Bandits. - Bart P. G. Van Parys; Negin Golrezaei (Manag. Sci., 2024)

Efficient data-driven optimization with noisy data. - Bart P. G. Van Parys (Oper. Res. Lett., 2024)

Branch-and-bound performance estimation programming: a unified methodology for constructing optimal optimization methods. - Shuvomoy Das Gupta; Bart P. G. Van Parys; Ernest K. Ryu (Math. Program., 2024)

Publisher Correction: Branch-and-bound performance estimation programming: a unified methodology for constructing optimal optimization methods. - Shuvomoy Das Gupta; Bart P. G. Van Parys; Ernest K. Ryu (Math. Program., 2024)

Exterior-Point Optimization for Sparse and Low-Rank Optimization. - Shuvomoy Das Gupta; Bartolomeo Stellato; Bart P. G. Van Parys (J. Optim. Theory Appl., 2024)

Stochastic Optimization with Optimal Importance Sampling. - Liviu Aolaritei; Bart P. G. Van Parys; Henry Lam; Michael I. Jordan (CoRR, 2025)

Mean robust optimization. - Irina Wang; Cole Becker; Bart P. G. Van Parys; Bartolomeo Stellato (Math. Program., 2025)