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ORCIDBartolomeo Stellato
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- affiliation: Princeton University, NJ, USA
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2020 – today
- 2024
[j11]Rajiv Sambharya, Georgina Hall, Brandon Amos, Bartolomeo Stellato:
Learning to Warm-Start Fixed-Point Optimization Algorithms. J. Mach. Learn. Res. 25: 166:1-166:46 (2024)- [j10]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) - [j9]Joyce Luo, Bartolomeo Stellato:
Frontiers in Operations: Equitable Data-Driven Facility Location and Resource Allocation to Fight the Opioid Epidemic. Manuf. Serv. Oper. Manag. 26(4): 1229-1244 (2024) - [c14]Maolin Wang, Ian McInerney, Bartolomeo Stellato, Fengbin Tu, Stephen P. Boyd, Hayden Kwok-Hay So, Kwang-Ting Cheng:
Multi-Issue Butterfly Architecture for Sparse Convex Quadratic Programming. MICRO 2024: 1574-1587 - [c13]Haimin Hu, Gabriele Dragotto, Zixu Zhang, Kaiqu Liang, Bartolomeo Stellato, Jaime Fernández Fisac:
Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots. Robotics: Science and Systems 2024 - [i12]Haimin Hu, Gabriele Dragotto, Zixu Zhang, Kaiqu Liang, Bartolomeo Stellato, Jaime F. Fisac:
Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots. CoRR abs/2402.09246 (2024) - [i11]Charlott Vallon, Alessandro Pinto, Bartolomeo Stellato, Francesco Borrelli:
Learning Hierarchical Control For Multi-Agent Capacity-Constrained Systems. CoRR abs/2403.14545 (2024) - [i10]Filippo Fabiani, Bartolomeo Stellato, Daniele Masti, Paul J. Goulart:
A neural network-based approach to hybrid systems identification for control. CoRR abs/2404.01814 (2024) - [i9]Rajiv Sambharya, Bartolomeo Stellato:
Data-Driven Performance Guarantees for Classical and Learned Optimizers. CoRR abs/2404.13831 (2024) - [i8]Rajiv Sambharya, Bartolomeo Stellato:
Learning Algorithm Hyperparameters for Fast Parametric Convex Optimization. CoRR abs/2411.15717 (2024) - 2023
- [c12]Stefan Clarke, Gabriele Dragotto, Jaime Fernández Fisac, Bartolomeo Stellato:
Learning Rationality in Potential Games. CDC 2023: 4261-4266 - [c11]Maolin Wang, Ian McInerney, Bartolomeo Stellato, Stephen P. Boyd, Hayden Kwok-Hay So:
RSQP: Problem-specific Architectural Customization for Accelerated Convex Quadratic Optimization. ISCA 2023: 73:1-73:12 - [c10]Rajiv Sambharya, Georgina Hall, Brandon Amos, Bartolomeo Stellato:
End-to-End Learning to Warm-Start for Real-Time Quadratic Optimization. L4DC 2023: 220-234 - [i7]Rajiv Sambharya, Georgina Hall, Brandon Amos, Bartolomeo Stellato:
Learning to Warm-Start Fixed-Point Optimization Algorithms. CoRR abs/2309.07835 (2023) - 2022
- [j8]Maximilian Schaller, Goran Banjac, Steven Diamond, Akshay Agrawal, Bartolomeo Stellato, Stephen P. Boyd:
Embedded Code Generation With CVXPY. IEEE Control. Syst. Lett. 6: 2653-2658 (2022) - [j7]Dimitris Bertsimas, Bartolomeo Stellato:
Online Mixed-Integer Optimization in Milliseconds. INFORMS J. Comput. 34(4): 2229-2248 (2022) - [j6]Abhishek Cauligi, Preston Culbertson, Edward Schmerling, Mac Schwager, Bartolomeo Stellato, Marco Pavone:
CoCo: Online Mixed-Integer Control Via Supervised Learning. IEEE Robotics Autom. Lett. 7(2): 1447-1454 (2022) - 2021
- [j5]Dimitris Bertsimas, Bartolomeo Stellato:
The voice of optimization. Mach. Learn. 110(2): 249-277 (2021) - [j4]Dimitris Bertsimas, Luca Mingardi, Bartolomeo Stellato:
Machine Learning for Real-Time Heart Disease Prediction. IEEE J. Biomed. Health Informatics 25(9): 3627-3637 (2021) - [c9]Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E. Gonzalez, Ion Stoica, Ken Goldberg:
Accelerating Quadratic Optimization with Reinforcement Learning. NeurIPS 2021: 21043-21055 - [c8]Tim Seyde, Igor Gilitschenski, Wilko Schwarting, Bartolomeo Stellato, Martin A. Riedmiller, Markus Wulfmeier, Daniela Rus:
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies. NeurIPS 2021: 27209-27221 - [i6]Abhishek Cauligi, Preston Culbertson, Edward Schmerling, Mac Schwager, Bartolomeo Stellato, Marco Pavone:
CoCo: Online Mixed-Integer Control via Supervised Learning. CoRR abs/2107.08143 (2021) - [i5]Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E. Gonzalez, Ion Stoica, Ken Goldberg:
Accelerating Quadratic Optimization with Reinforcement Learning. CoRR abs/2107.10847 (2021) - [i4]Tim Seyde, Igor Gilitschenski, Wilko Schwarting, Bartolomeo Stellato, Martin A. Riedmiller, Markus Wulfmeier, Daniela Rus:
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies. CoRR abs/2111.02552 (2021) - 2020
- [j3]Bartolomeo Stellato, Goran Banjac, Paul Goulart, Alberto Bemporad, Stephen P. Boyd:
OSQP: an operator splitting solver for quadratic programs. Math. Program. Comput. 12(4): 637-672 (2020) - [c7]Abhishek Cauligi, Preston Culbertson, Bartolomeo Stellato, Dimitris Bertsimas, Mac Schwager, Marco Pavone:
Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control. CDC 2020: 1698-1705 - [c6]Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd, Bartolomeo Stellato:
Learning Convex Optimization Control Policies. L4DC 2020: 361-373 - [i3]Abhishek Cauligi, Preston Culbertson, Bartolomeo Stellato, Dimitris Bertsimas, Mac Schwager, Marco Pavone:
Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control. CoRR abs/2004.03736 (2020)
2010 – 2019
- 2019
- [j2]Goran Banjac, Paul Goulart, Bartolomeo Stellato, Stephen P. Boyd:
Infeasibility Detection in the Alternating Direction Method of Multipliers for Convex Optimization. J. Optim. Theory Appl. 183(2): 490-519 (2019) - [i2]Dimitris Bertsimas, Bartolomeo Stellato:
Online Mixed-Integer Optimization in Milliseconds. CoRR abs/1907.02206 (2019) - [i1]Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd, Bartolomeo Stellato:
Learning Convex Optimization Control Policies. CoRR abs/1912.09529 (2019) - 2018
- [c5]Bartolomeo Stellato, Vihangkumar V. Naik, Alberto Bemporad, Paul Goulart, Stephen P. Boyd:
Embedded Mixed-Integer Quadratic optimization Using the OSQP Solver. ECC 2018: 1536-1541 - 2017
- [j1]Bartolomeo Stellato, Sina Ober-Blöbaum, Paul J. Goulart:
Second-Order Switching Time Optimization for Switched Dynamical Systems. IEEE Trans. Autom. Control. 62(10): 5407-5414 (2017) - [c4]Goran Banjac, Bartolomeo Stellato, Nicholas Moehle, Paul Goulart, Alberto Bemporad, Stephen P. Boyd:
Embedded code generation using the OSQP solver. CDC 2017: 1906-1911 - 2016
- [c3]Bartolomeo Stellato, Paul J. Goulart:
Real-time FPGA implementation of direct MPC for power electronics. CDC 2016: 1471-1476 - [c2]Bartolomeo Stellato, Sina Ober-Blöbaum, Paul J. Goulart:
Optimal control of switching times in switched linear systems. CDC 2016: 7228-7233 - [c1]Bartolomeo Stellato, Paul J. Goulart:
High-speed direct model predictive control for power electronics. ECC 2016: 129-134
Coauthor Index
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