Bart P. G. Van Parys

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 21

Top Topics

Robust Optimization

Optimization Method

Sparse Regression

Top Venues

Publications

Bart P. G. Van Parys
Efficient data-driven optimization with noisy data. Oper. Res. Lett. 54 (2024)
Shuvomoy Das Gupta, Bart P. G. Van Parys, Ernest K. Ryu
Branch-and-bound performance estimation programming: a unified methodology for constructing optimal optimization methods. Math. Program. 204 (1) (2024)
Shuvomoy Das Gupta, Bartolomeo Stellato, Bart P. G. Van Parys
Exterior-Point Optimization for Sparse and Low-Rank Optimization. J. Optim. Theory Appl. 202 (2) (2024)
Bart P. G. Van Parys, Negin Golrezaei
Optimal Learning for Structured Bandits. Manag. Sci. 70 (6) (2024)
Shuvomoy Das Gupta, Bart P. G. Van Parys, Ernest K. Ryu
Publisher Correction: Branch-and-bound performance estimation programming: a unified methodology for constructing optimal optimization methods. Math. Program. 204 (1) (2024)
Zhenyuan Liu, Bart P. G. Van Parys, Henry Lam
Smoothed f-Divergence Distributionally Robust Optimization: Exponential Rate Efficiency and Complexity-Free Calibration. CoRR (2023)
M. Amine Bennouna, Lucas Ryan, Bart P. G. Van Parys
Certified Robust Neural Networks: Generalization and Corruption Resistance. CoRR (2023)
M. Amine Bennouna, Ryan Lucas, Bart P. G. Van Parys
Certified Robust Neural Networks: Generalization and Corruption Resistance. ICML (2023)
Dimitris Bertsimas, Bart P. G. Van Parys
Bootstrap robust prescriptive analytics. Math. Program. 195 (1) (2022)
M. Amine Bennouna, Bart P. G. Van Parys
Holistic Robust Data-Driven Decisions. CoRR (2022)
Bart P. G. Van Parys
Optimal Transport in the Face of Noisy Data. CoRR (2021)
M. Amine Bennouna, Bart P. G. Van Parys
Learning and Decision-Making with Data: Optimal Formulations and Phase Transitions. CoRR (2021)
Dimitris Bertsimas, Jean Pauphilet, Bart P. G. Van Parys
Sparse classification: a scalable discrete optimization perspective. Mach. Learn. 110 (11) (2021)
Bart P. G. Van Parys, Peyman Mohajerin Esfahani, Daniel Kuhn
From Data to Decisions: Distributionally Robust Optimization Is Optimal. Manag. Sci. 67 (6) (2021)
Bart P. G. Van Parys, Negin Golrezaei
Optimal Learning for Structured Bandits. CoRR (2020)
Dimitris Bertsimas, Bart P. G. Van Parys
Sparse hierarchical regression with polynomials. Mach. Learn. 109 (5) (2020)
Bart P. G. Van Parys, Paul J. Goulart, Manfred Morari
Distributionally robust expectation inequalities for structured distributions. Math. Program. 173 (1-2) (2019)
Bart P. G. Van Parys, Peyman Mohajerin Esfahani, Daniel Kuhn
From Data to Decisions: Distributionally Robust Optimization is Optimal. CoRR (2017)
Dimitris Bertsimas, Bart P. G. Van Parys
Sparse Hierarchical Regression with Polynomials. CoRR (2017)
Bart P. G. Van Parys, Daniel Kuhn, Paul J. Goulart, Manfred Morari
Distributionally Robust Control of Constrained Stochastic Systems. IEEE Trans. Autom. Control. 61 (2) (2016)
Bart P. G. Van Parys, Paul J. Goulart, Daniel Kuhn
Generalized Gauss inequalities via semidefinite programming. Math. Program. 156 (1-2) (2016)
Bart P. G. Van Parys, Paul J. Goulart, Manfred Morari
Infinite Horizon Performance Bounds for Uncertain Constrained Systems. IEEE Trans. Autom. Control. 58 (11) (2013)
Bart P. G. Van Parys, Paul J. Goulart, Manfred Morari
Infinite-horizon performance bounds for constrained stochastic systems. CDC (2012)