Bart P. G. Van Parys

28 papers A* 1Journal 26Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Globalized Adversarial Regret Optimization: Robust Decisions with Uncalibrated Predictions. CoRR Jannis Kurtz, Bart P. G. Van Parys
2025	J	`jnl`	Mean robust optimization. Math. Program. Irina Wang, Cole Becker, Bart P. G. Van Parys, Bartolomeo Stellato
2025	J	`jnl`	Stochastic Optimization with Optimal Importance Sampling. CoRR Liviu Aolaritei, Bart P. G. Van Parys, Henry Lam, Michael I. Jordan
2024	J	`jnl`	A Pareto Dominance Principle for Data-Driven Optimization. Oper. Res. Tobias Sutter, Bart P. G. Van Parys, Daniel Kuhn
2024	J	`jnl`	Branch-and-bound performance estimation programming: a unified methodology for constructing optimal optimization methods. Math. Program. Shuvomoy Das Gupta, Bart P. G. Van Parys, Ernest K. Ryu
2024	J	`jnl`	Efficient data-driven optimization with noisy data. Oper. Res. Lett. Bart P. G. Van Parys
2024	J	`jnl`	Exterior-Point Optimization for Sparse and Low-Rank Optimization. J. Optim. Theory Appl. Shuvomoy Das Gupta, Bartolomeo Stellato, Bart P. G. Van Parys
2024	J	`jnl`	From Distributional Robustness to Robust Statistics: A Confidence Sets Perspective. CoRR Gabriel Chan, Bart P. G. Van Parys, M. Amine Bennouna
2024	J	`jnl`	Optimal Learning for Structured Bandits. Manag. Sci. Bart P. G. Van Parys, Negin Golrezaei
2024	J	`jnl`	Publisher Correction: Branch-and-bound performance estimation programming: a unified methodology for constructing optimal optimization methods. Math. Program. Shuvomoy Das Gupta, Bart P. G. Van Parys, Ernest K. Ryu
2023	A*	`conf`	Certified Robust Neural Networks: Generalization and Corruption Resistance. ICML M. Amine Bennouna, Ryan Lucas, Bart P. G. Van Parys
2023	J	`jnl`	Certified Robust Neural Networks: Generalization and Corruption Resistance. CoRR M. Amine Bennouna, Ryan Lucas, Bart P. G. Van Parys
2023	J	`jnl`	Smoothed f-Divergence Distributionally Robust Optimization: Exponential Rate Efficiency and Complexity-Free Calibration. CoRR Zhenyuan Liu, Bart P. G. Van Parys, Henry Lam
2022	J	`jnl`	Bootstrap robust prescriptive analytics. Math. Program. Dimitris Bertsimas, Bart P. G. Van Parys
2022	J	`jnl`	Holistic Robust Data-Driven Decisions. CoRR M. Amine Bennouna, Bart P. G. Van Parys
2021	J	`jnl`	From Data to Decisions: Distributionally Robust Optimization Is Optimal. Manag. Sci. Bart P. G. Van Parys, Peyman Mohajerin Esfahani, Daniel Kuhn
2021	J	`jnl`	Learning and Decision-Making with Data: Optimal Formulations and Phase Transitions. CoRR M. Amine Bennouna, Bart P. G. Van Parys
2021	J	`jnl`	Optimal Transport in the Face of Noisy Data. CoRR Bart P. G. Van Parys
2021	J	`jnl`	Sparse classification: a scalable discrete optimization perspective. Mach. Learn. Dimitris Bertsimas, Jean Pauphilet, Bart P. G. Van Parys
2020	J	`jnl`	Optimal Learning for Structured Bandits. CoRR Bart P. G. Van Parys, Negin Golrezaei
2020	J	`jnl`	Sparse hierarchical regression with polynomials. Mach. Learn. Dimitris Bertsimas, Bart P. G. Van Parys
2019	J	`jnl`	Distributionally robust expectation inequalities for structured distributions. Math. Program. Bart P. G. Van Parys, Paul J. Goulart, Manfred Morari
2017	J	`jnl`	From Data to Decisions: Distributionally Robust Optimization is Optimal. CoRR Bart P. G. Van Parys, Peyman Mohajerin Esfahani, Daniel Kuhn
2017	J	`jnl`	Sparse Hierarchical Regression with Polynomials. CoRR Dimitris Bertsimas, Bart P. G. Van Parys
2016	J	`jnl`	Distributionally Robust Control of Constrained Stochastic Systems. IEEE Trans. Autom. Control. Bart P. G. Van Parys, Daniel Kuhn, Paul J. Goulart, Manfred Morari
2016	J	`jnl`	Generalized Gauss inequalities via semidefinite programming. Math. Program. Bart P. G. Van Parys, Paul J. Goulart, Daniel Kuhn
2013	J	`jnl`	Infinite Horizon Performance Bounds for Uncertain Constrained Systems. IEEE Trans. Autom. Control. Bart P. G. Van Parys, Paul J. Goulart, Manfred Morari
2012	—	`conf`	Infinite-horizon performance bounds for constrained stochastic systems. CDC Bart P. G. Van Parys, Paul J. Goulart, Manfred Morari