| OSQP: An operator splitting solver for quadratic programs B Stellato, G Banjac, P Goulart, A Bemporad, S Boyd Mathematical Programming Computation, 2020 | 1820 | 2020 |
| COVID-19 mortality risk assessment: An international multi-center study D Bertsimas, G Lukin, L Mingardi, O Nohadani, A Orfanoudaki, B Stellato, ... PloS one 15 (12), e0243262, 2020 | 258 | 2020 |
| High-Speed Finite Control Set Model Predictive Control for Power Electronics B Stellato, T Geyer, PJ Goulart IEEE Transactions on Power Electronics 32 (5), 4007 - 4020, 2017 | 223 | 2017 |
| Online mixed-integer optimization in milliseconds D Bertsimas, B Stellato INFORMS Journal on Computing 34 (4), 2229-2248, 2022 | 149 | 2022 |
| From predictions to prescriptions: A data-driven response to COVID-19 D Bertsimas, L Boussioux, R Cory-Wright, A Delarue, V Digalakis, ... Health care management science 24 (2), 253-272, 2021 | 149 | 2021 |
| Infeasibility detection in the alternating direction method of multipliers for convex optimization G Banjac, P Goulart, B Stellato, S Boyd Journal of Optimization Theory and Applications 183 (2), 490–519, 2019 | 135 | 2019 |
| The voice of optimization D Bertsimas, B Stellato Machine Learning 110 (2), 249-277, 2021 | 128 | 2021 |
| Machine learning for real-time heart disease prediction D Bertsimas, L Mingardi, B Stellato IEEE Journal of Biomedical and Health Informatics 25 (9), 3627-3637, 2021 | 107 | 2021 |
| Embedded code generation using the OSQP solver G Banjac, B Stellato, N Moehle, P Goulart, A Bemporad, S Boyd 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 1906-1911, 2017 | 104 | 2017 |
| Learning convex optimization control policies A Agrawal, S Barratt, S Boyd, B Stellato Learning for Dynamics and Control, 361-373, 2020 | 99 | 2020 |
| CoCo: Online mixed-integer control via supervised learning A Cauligi, P Culbertson, E Schmerling, M Schwager, B Stellato, M Pavone IEEE Robotics and Automation Letters 7 (2), 1447-1454, 2022 | 70 | 2022 |
| Is bang-bang control all you need? solving continuous control with bernoulli policies T Seyde, I Gilitschenski, W Schwarting, B Stellato, M Riedmiller, ... Advances in Neural Information Processing Systems 34, 27209-27221, 2021 | 69 | 2021 |
| Embedded mixed-integer quadratic optimization using the OSQP solver B Stellato, VV Naik, A Bemporad, P Goulart, S Boyd 2018 European Control Conference (ECC), 1536-1541, 2018 | 68 | 2018 |
| Second-order switching time optimization for switched dynamical systems B Stellato, S Ober-Blöbaum, PJ Goulart IEEE Transactions on Automatic Control 62 (10), 5407-5414, 2017 | 63 | 2017 |
| Learning mixed-integer convex optimization strategies for robot planning and control A Cauligi, P Culbertson, B Stellato, D Bertsimas, M Schwager, M Pavone 2020 59th IEEE Conference on Decision and Control (CDC), 1698-1705, 2020 | 59 | 2020 |
| Multivariate Chebyshev inequality with estimated mean and variance B Stellato, BPG Van Parys, PJ Goulart The American Statistician 71 (2), 123-127, 2017 | 58 | 2017 |
| Accelerating quadratic optimization with reinforcement learning J Ichnowski, P Jain, B Stellato, G Banjac, M Luo, F Borrelli, JE Gonzalez, ... Advances in Neural Information Processing Systems 34, 21043-21055, 2021 | 56 | 2021 |
| Learning to warm-start fixed-point optimization algorithms R Sambharya, G Hall, B Amos, B Stellato Journal of Machine Learning Research 25 (166), 1-46, 2024 | 46 | 2024 |
| End-to-end learning to warm-start for real-time quadratic optimization R Sambharya, G Hall, B Amos, B Stellato Learning for dynamics and control conference, 220-234, 2023 | 40 | 2023 |
| Embedded code generation with CVXPY M Schaller, G Banjac, S Diamond, A Agrawal, B Stellato, S Boyd IEEE Control Systems Letters 6, 2653-2658, 2022 | 30 | 2022 |
Paul GoulartUniversity of OxfordVerified email at eng.ox.ac.uk
