| Distributionally robust control of constrained stochastic systems BPG Van Parys, D Kuhn, PJ Goulart, M Morari IEEE Transactions on Automatic Control 61 (2), 430-442, 2015 | 202 | 2015 |
| Sparse High-Dimensional Regression: Exact Scalable Algorithms and Phase Transistions D Bertsimas, B Van Parys The Annals of Statistics 48 (1), 300-323, 2020 | 199 | 2020 |
| From data to decisions: Distributionally robust optimization is optimal BPG Van Parys, PM Esfahani, D Kuhn Management Science 67 (6), 3387-3402, 2021 | 153 | 2021 |
| Generalized Gauss inequalities via semidefinite programming BPG Van Parys, PJ Goulart, D Kuhn Mathematical Programming 156, 271-302, 2016 | 119 | 2016 |
| Security constrained optimal power flow with distributionally robust chance constraints L Roald, F Oldewurtel, B Van Parys, G Andersson arXiv preprint arXiv:1508.06061, 2015 | 117 | 2015 |
| Sparse regression: Scalable algorithms and empirical performance D Bertsimas, J Pauphilet, B Van Parys Statistical Science 35 (4), 555-578, 2020 | 96 | 2020 |
| Multivariate Chebyshev inequality with estimated mean and variance B Stellato, BPG Van Parys, PJ Goulart The American Statistician 71 (2), 123-127, 2017 | 79* | 2017 |
| Bootstrap robust prescriptive analytics D Bertsimas, B Van Parys Mathematical Programming 195 (1), 39-78, 2022 | 69 | 2022 |
| Sparse regression: Scalable algorithms and empirical performance D Bertsimas, J Pauphilet, B Van Parys Statistical Science 35 (4), 555-578, 2020 | 60* | 2020 |
| Distributionally robust expectation inequalities for structured distributions BPG Van Parys, PJ Goulart, M Morari Mathematical Programming 173, 251-280, 2019 | 37 | 2019 |
| Branch-and-bound performance estimation programming: A unified methodology for constructing optimal optimization methods S Das Gupta, BPG Van Parys, EK Ryu Mathematical Programming 204 (1), 567-639, 2024 | 36 | 2024 |
| Optimal learning for structured bandits B Van Parys, N Golrezaei Management Science 70 (6), 3951-3998, 2024 | 26 | 2024 |
| Infinite horizon performance bounds for uncertain constrained systems BPG Van Parys, PJ Goulart, M Morari IEEE Transactions on Automatic Control 58 (11), 2803-2817, 2013 | 24 | 2013 |
| A Pareto Dominance Principle for Data-Driven Optimization T Sutter, BPG Van Parys, D Kuhn Operations Research, 2024 | 22* | 2024 |
| Holistic robust data-driven decisions A Bennouna, B Van Parys arXiv preprint arXiv:2207.09560, 2022 | 19 | 2022 |
| Learning and decision-making with data: Optimal formulations and phase transitions M Bennouna, BPG Van Parys arXiv preprint arXiv:2109.06911, 2021 | 15 | 2021 |
| Certified robust neural networks: Generalization and corruption resistance A Bennouna, R Lucas, B Van Parys International Conference on Machine Learning, 2092-2112, 2023 | 9 | 2023 |
| Sparse hierarchical regression with polynomials D Bertsimas, B Van Parys Machine Learning 109 (5), 973-997, 2020 | 8 | 2020 |
| Optimal control for load alleviation in wind turbines BP Van Parys, BF Ng, PJ Goulart, R Palacios 32nd ASME Wind Energy Symposium, 1222, 2014 | 8 | 2014 |
| Learning for robust optimization I Wang, C Becker, B Van Parys, B Stellato arXiv preprint arXiv:2305.19225, 2023 | 7 | 2023 |
Paul GoulartUniversity of OxfordVerified email at eng.ox.ac.uk
