| Sparse high-dimensional regression: Exact scalable algorithms and phase transitions D Bertsimas, B Van Parys | 165 | 2020 |
| 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 | 161 | 2015 |
| From data to decisions: Distributionally robust optimization is optimal BPG Van Parys, PM Esfahani, D Kuhn Management Science 67 (6), 3387-3402, 2021 | 115 | 2021 |
| Generalized Gauss inequalities via semidefinite programming BPG Van Parys, PJ Goulart, D Kuhn Mathematical Programming 156, 271-302, 2016 | 102 | 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 | 102 | 2015 |
| Sparse regression: Scalable algorithms and empirical performance D Bertsimas, J Pauphilet, B Van Parys Statistical Science 35 (4), 555-578, 2020 | 78 | 2020 |
| Multivariate Chebyshev inequality with estimated mean and variance B Stellato, BPG Van Parys, PJ Goulart The American Statistician 71 (2), 123-127, 2017 | 75* | 2017 |
| Bootstrap robust prescriptive analytics D Bertsimas, B Van Parys Mathematical Programming 195 (1-2), 39-78, 2022 | 55 | 2022 |
| Sparse regression: Scalable algorithms and empirical performance D Bertsimas, J Pauphilet, B Van Parys Statistical Science 35 (4), 555-578, 2020 | 48* | 2020 |
| Distributionally robust expectation inequalities for structured distributions BPG Van Parys, PJ Goulart, M Morari Mathematical Programming 173, 251-280, 2019 | 36 | 2019 |
| 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 | 22 | 2013 |
| Optimal learning for structured bandits B Van Parys, N Golrezaei Management Science, 2023 | 18 | 2023 |
| A general framework for optimal data-driven optimization T Sutter, BPG Van Parys, D Kuhn arXiv preprint arXiv:2010.06606, 2020 | 16 | 2020 |
| Branch-and-bound performance estimation programming: A unified methodology for constructing optimal optimization methods SD Gupta, BPG Van Parys, EK Ryu arXiv preprint arXiv:2203.07305, 2022 | 12 | 2022 |
| Learning and Decision-Making with Data: Optimal Formulations and Phase Transitions M Amine Bennouna, BPG Van Parys arXiv e-prints, arXiv: 2109.06911, 2021 | 8* | 2021 |
| Holistic robust data-driven decisions A Bennouna, B Van Parys arXiv preprint arXiv:2207.09560, 2022 | 7 | 2022 |
| Optimal control for load alleviation in wind turbines BP Van Parys, BF Ng, PJ Goulart, R Palacios 32nd ASME Wind Energy Symposium, 1222, 2014 | 6 | 2014 |
| Rejoinder: Sparse Regression: Scalable Algorithms and Empirical Performance D Bertsimas, J Pauphilet, B Van Parys Statistical Science 35 (4), 623-624, 2020 | 5 | 2020 |
| Sparse hierarchical regression with polynomials D Bertsimas, B Van Parys Machine Learning 109 (5), 973-997, 2020 | 4 | 2020 |
| Fréchet inequalities via convex optimization BPG Van Parys, PJ Goulart, P Embrechts Available on Optimization Online, 2016 | 2 | 2016 |
Paul GoulartUniversity of OxfordVerified email at eng.ox.ac.uk
