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2020 – today
- 2024
[j14]Tobias Sutter
, Bart P. G. Van Parys, Daniel Kuhn:
A Pareto Dominance Principle for Data-Driven Optimization. Oper. Res. 72(5): 1976-1999 (2024)- [j13]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): 795-833 (2024) - [j12]Bart P. G. Van Parys, Negin Golrezaei:
Optimal Learning for Structured Bandits. Manag. Sci. 70(6): 3951-3998 (2024) - [j11]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): 567-639 (2024) - [j10]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): 641 (2024) - [j9]Bart P. G. Van Parys:
Efficient data-driven optimization with noisy data. Oper. Res. Lett. 54: 107089 (2024) - [i9]Gabriel Chan, Bart P. G. Van Parys, M. Amine Bennouna:
From Distributional Robustness to Robust Statistics: A Confidence Sets Perspective. CoRR abs/2410.14008 (2024) - 2023
- [c2]M. Amine Bennouna, Ryan Lucas, Bart P. G. Van Parys:
Certified Robust Neural Networks: Generalization and Corruption Resistance. ICML 2023: 2092-2112 - [i8]M. Amine Bennouna, Ryan Lucas, Bart P. G. Van Parys:
Certified Robust Neural Networks: Generalization and Corruption Resistance. CoRR abs/2303.02251 (2023) - [i7]Zhenyuan Liu, Bart P. G. Van Parys, Henry Lam:
Smoothed f-Divergence Distributionally Robust Optimization: Exponential Rate Efficiency and Complexity-Free Calibration. CoRR abs/2306.14041 (2023) - 2022
- [j8]Dimitris Bertsimas, Bart P. G. Van Parys:
Bootstrap robust prescriptive analytics. Math. Program. 195(1): 39-78 (2022) - [i6]M. Amine Bennouna, Bart P. G. Van Parys:
Holistic Robust Data-Driven Decisions. CoRR abs/2207.09560 (2022) - 2021
- [j7]Bart P. G. Van Parys, Peyman Mohajerin Esfahani, Daniel Kuhn:
From Data to Decisions: Distributionally Robust Optimization Is Optimal. Manag. Sci. 67(6): 3387-3402 (2021) - [j6]Dimitris Bertsimas, Jean Pauphilet, Bart P. G. Van Parys:
Sparse classification: a scalable discrete optimization perspective. Mach. Learn. 110(11): 3177-3209 (2021) - [i5]Bart P. G. Van Parys:
Optimal Transport in the Face of Noisy Data. CoRR abs/2102.04363 (2021) - [i4]M. Amine Bennouna, Bart P. G. Van Parys:
Learning and Decision-Making with Data: Optimal Formulations and Phase Transitions. CoRR abs/2109.06911 (2021) - 2020
- [j5]Dimitris Bertsimas, Bart P. G. Van Parys:
Sparse hierarchical regression with polynomials. Mach. Learn. 109(5): 973-997 (2020) - [i3]Bart P. G. Van Parys, Negin Golrezaei:
Optimal Learning for Structured Bandits. CoRR abs/2007.07302 (2020)
2010 – 2019
- 2019
- [j4]Bart P. G. Van Parys, Paul J. Goulart, Manfred Morari:
Distributionally robust expectation inequalities for structured distributions. Math. Program. 173(1-2): 251-280 (2019) - 2017
- [i2]Bart P. G. Van Parys, Peyman Mohajerin Esfahani, Daniel Kuhn:
From Data to Decisions: Distributionally Robust Optimization is Optimal. CoRR abs/1704.04118 (2017) - [i1]Dimitris Bertsimas, Bart P. G. Van Parys:
Sparse Hierarchical Regression with Polynomials. CoRR abs/1709.10030 (2017) - 2016
- [j3]Bart P. G. Van Parys, Paul J. Goulart, Daniel Kuhn:
Generalized Gauss inequalities via semidefinite programming. Math. Program. 156(1-2): 271-302 (2016) - [j2]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): 430-442 (2016) - 2013
- [j1]Bart P. G. Van Parys, Paul J. Goulart, Manfred Morari:
Infinite Horizon Performance Bounds for Uncertain Constrained Systems. IEEE Trans. Autom. Control. 58(11): 2803-2817 (2013) - 2012
- [c1]Bart P. G. Van Parys, Paul J. Goulart, Manfred Morari:
Infinite-horizon performance bounds for constrained stochastic systems. CDC 2012: 2171-2176
Coauthor Index
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last updated on 2024-12-01 00:15 CET by the dblp team
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