Bart P. G. Van Parys

According to our database, Bart P. G. Van Parys authored at least 21 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Exterior-Point Optimization for Sparse and Low-Rank Optimization.

Shuvomoy Das Gupta, Bartolomeo Stellato, Bart P. G. Van Parys

J. Optim. Theory Appl., August, 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., March, 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., March, 2024

Efficient data-driven optimization with noisy data.

Bart P. G. Van Parys

Oper. Res. Lett., 2024

Optimal Learning for Structured Bandits.

Bart P. G. Van Parys, Negin Golrezaei

Manag. Sci., 2024

A Pareto Dominance Principle for Data-Driven Optimization.

Tobias Sutter, Bart P. G. Van Parys, Daniel Kuhn

Oper. Res., 2024

From Distributional Robustness to Robust Statistics: A Confidence Sets Perspective.

Gabriel Chan, Bart P. G. Van Parys, M. Amine Bennouna

CoRR, 2024

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

Certified Robust Neural Networks: Generalization and Corruption Resistance.

M. Amine Bennouna, Ryan Lucas, Bart P. G. Van Parys

Proceedings of the International Conference on Machine Learning, 2023

2022

Bootstrap robust prescriptive analytics.

Dimitris Bertsimas, Bart P. G. Van Parys

Math. Program., 2022

Holistic Robust Data-Driven Decisions.

M. Amine Bennouna, Bart P. G. Van Parys

CoRR, 2022

2021

Sparse classification: a scalable discrete optimization perspective.

Dimitris Bertsimas, Jean Pauphilet, Bart P. G. Van Parys

Mach. Learn., 2021

From Data to Decisions: Distributionally Robust Optimization Is Optimal.

Bart P. G. Van Parys, Peyman Mohajerin Esfahani, Daniel Kuhn

Manag. Sci., 2021

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

M. Amine Bennouna, Bart P. G. Van Parys

CoRR, 2021

Optimal Transport in the Face of Noisy Data.

Bart P. G. Van Parys

CoRR, 2021

2020

Sparse hierarchical regression with polynomials.

Dimitris Bertsimas, Bart P. G. Van Parys

Mach. Learn., 2020

2019

Distributionally robust expectation inequalities for structured distributions.

Bart P. G. Van Parys, Paul J. Goulart, Manfred Morari

Math. Program., 2019

2016

Distributionally Robust Control of Constrained Stochastic Systems.

Bart P. G. Van Parys, Daniel Kuhn, Paul J. Goulart, Manfred Morari

IEEE Trans. Autom. Control., 2016

Generalized Gauss inequalities via semidefinite programming.

Bart P. G. Van Parys, Paul J. Goulart, Daniel Kuhn

Math. Program., 2016

2013

Infinite Horizon Performance Bounds for Uncertain Constrained Systems.

Bart P. G. Van Parys, Paul J. Goulart, Manfred Morari

IEEE Trans. Autom. Control., 2013

2012

Infinite-horizon performance bounds for constrained stochastic systems.

Bart P. G. Van Parys, Paul J. Goulart, Manfred Morari

Proceedings of the 51th IEEE Conference on Decision and Control, 2012