Bartolomeo Stellato

45 papers A* 4Journal 30Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Batched First-Order Methods for Parallel LP Solving in MIP.
CoRR
Nicolas Blin, Stefano Gualandi, Christopher Maes, Andrea Lodi, Bartolomeo Stellato
2026 J jnl
On the (linear) convergence of Generalized Newton Inexact ADMM.
Trans. Mach. Learn. Res.
Zachary Frangella, Theo Diamandis, Bartolomeo Stellato, Madeleine Udell
2025 J jnl
A neural network-based approach to hybrid systems identification for control.
Autom.
Filippo Fabiani, Bartolomeo Stellato, Daniele Masti, Paul J. Goulart
2025 J jnl
AlgoTune: Can Language Models Speed Up General-Purpose Numerical Programs?
CoRR
Ori Press, Brandon Amos, Haoyu Zhao, Yikai Wu, Samuel K. Ainsworth, Dominik Krupke, Patrick Kidger, Touqir Sajed, Bartolomeo Stellato, Jisun Park, Nathanael Bosch, Eli Meril, Albert Steppi, Arman Zharmagambetov, Fangzhao Zhang, David Perez-Pineiro, Alberto Mercurio, Ni Zhan, Talor Abramovich, Kilian Lieret, Hanlin Zhang, Shirley Huang, Matthias Bethge, Ofir Press
2025 J jnl
Data-Driven Performance Guarantees for Classical and Learned Optimizers.
J. Mach. Learn. Res.
Rajiv Sambharya, Bartolomeo Stellato
2025 J jnl
Mean robust optimization.
Math. Program.
Irina Wang, Cole Becker, Bart P. G. Van Parys, Bartolomeo Stellato
2025 J jnl
The Benefit of Uncertainty Coupling in Robust and Adaptive Robust Optimization.
INFORMS J. Optim.
Dimitris Bertsimas, Liangyuan Na, Bartolomeo Stellato, Irina Wang
2024 J jnl
A neural network-based approach to hybrid systems identification for control.
CoRR
Filippo Fabiani, Bartolomeo Stellato, Daniele Masti, Paul J. Goulart
2024 J jnl
Data-Driven Performance Guarantees for Classical and Learned Optimizers.
CoRR
Rajiv Sambharya, Bartolomeo Stellato
2024 J jnl
Exterior-Point Optimization for Sparse and Low-Rank Optimization.
J. Optim. Theory Appl.
Shuvomoy Das Gupta, Bartolomeo Stellato, Bart P. G. Van Parys
2024 J jnl
Frontiers in Operations: Equitable Data-Driven Facility Location and Resource Allocation to Fight the Opioid Epidemic.
Manuf. Serv. Oper. Manag.
Joyce Luo, Bartolomeo Stellato
2024 J jnl
Learning Algorithm Hyperparameters for Fast Parametric Convex Optimization.
CoRR
Rajiv Sambharya, Bartolomeo Stellato
2024 — conf
Learning Hierarchical Control For Multi-Agent Capacity-Constrained Systems.
CDC
Charlott Vallon, Alessandro Pinto, Bartolomeo Stellato, Francesco Borrelli
2024 J jnl
Learning Hierarchical Control For Multi-Agent Capacity-Constrained Systems.
CoRR
Charlott Vallon, Alessandro Pinto, Bartolomeo Stellato, Francesco Borrelli
2024 J jnl
Learning to Warm-Start Fixed-Point Optimization Algorithms.
J. Mach. Learn. Res.
Rajiv Sambharya, Georgina Hall, Brandon Amos, Bartolomeo Stellato
2024 A* conf
Multi-Issue Butterfly Architecture for Sparse Convex Quadratic Programming.
MICRO
Maolin Wang, Ian McInerney, Bartolomeo Stellato, Fengbin Tu, Stephen P. Boyd, Hayden Kwok-Hay So, Kwang-Ting Cheng
2024 — conf
Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots.
Robotics: Science and Systems
Haimin Hu, Gabriele Dragotto, Zixu Zhang, Kaiqu Liang, Bartolomeo Stellato, Jaime Fernández Fisac
2024 J jnl
Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots.
CoRR
Haimin Hu, Gabriele Dragotto, Zixu Zhang, Kaiqu Liang, Bartolomeo Stellato, Jaime F. Fisac
2023 — conf
End-to-End Learning to Warm-Start for Real-Time Quadratic Optimization.
L4DC
Rajiv Sambharya, Georgina Hall, Brandon Amos, Bartolomeo Stellato
2023 — conf
Learning Rationality in Potential Games.
CDC
Stefan Clarke, Gabriele Dragotto, Jaime Fernández Fisac, Bartolomeo Stellato
2023 J jnl
Learning to Warm-Start Fixed-Point Optimization Algorithms.
CoRR
Rajiv Sambharya, Georgina Hall, Brandon Amos, Bartolomeo Stellato
2023 A* conf
RSQP: Problem-specific Architectural Customization for Accelerated Convex Quadratic Optimization.
ISCA
Maolin Wang, Ian McInerney, Bartolomeo Stellato, Stephen P. Boyd, Hayden Kwok-Hay So
2022 J jnl
CoCo: Online Mixed-Integer Control Via Supervised Learning.
IEEE Robotics Autom. Lett.
Abhishek Cauligi, Preston Culbertson, Edward Schmerling, Mac Schwager, Bartolomeo Stellato, Marco Pavone
2022 J jnl
Embedded Code Generation With CVXPY.
IEEE Control. Syst. Lett.
Maximilian Schaller, Goran Banjac, Steven Diamond, Akshay Agrawal, Bartolomeo Stellato, Stephen P. Boyd
2022 J jnl
Online Mixed-Integer Optimization in Milliseconds.
INFORMS J. Comput.
Dimitris Bertsimas, Bartolomeo Stellato
2021 A* conf
Accelerating Quadratic Optimization with Reinforcement Learning.
NeurIPS
Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E. Gonzalez, Ion Stoica, Ken Goldberg
2021 J jnl
Accelerating Quadratic Optimization with Reinforcement Learning.
CoRR
Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E. Gonzalez, Ion Stoica, Ken Goldberg
2021 J jnl
CoCo: Online Mixed-Integer Control via Supervised Learning.
CoRR
Abhishek Cauligi, Preston Culbertson, Edward Schmerling, Mac Schwager, Bartolomeo Stellato, Marco Pavone
2021 A* conf
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies.
NeurIPS
Tim Seyde, Igor Gilitschenski, Wilko Schwarting, Bartolomeo Stellato, Martin A. Riedmiller, Markus Wulfmeier, Daniela Rus
2021 J jnl
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies.
CoRR
Tim Seyde, Igor Gilitschenski, Wilko Schwarting, Bartolomeo Stellato, Martin A. Riedmiller, Markus Wulfmeier, Daniela Rus
2021 J jnl
Machine Learning for Real-Time Heart Disease Prediction.
IEEE J. Biomed. Health Informatics
Dimitris Bertsimas, Luca Mingardi, Bartolomeo Stellato
2021 J jnl
The voice of optimization.
Mach. Learn.
Dimitris Bertsimas, Bartolomeo Stellato
2020 — conf
Learning Convex Optimization Control Policies.
L4DC
Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd, Bartolomeo Stellato
2020 — conf
Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control.
CDC
Abhishek Cauligi, Preston Culbertson, Bartolomeo Stellato, Dimitris Bertsimas, Mac Schwager, Marco Pavone
2020 J jnl
Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control.
CoRR
Abhishek Cauligi, Preston Culbertson, Bartolomeo Stellato, Dimitris Bertsimas, Mac Schwager, Marco Pavone
2020 J jnl
OSQP: an operator splitting solver for quadratic programs.
Math. Program. Comput.
Bartolomeo Stellato, Goran Banjac, Paul Goulart, Alberto Bemporad, Stephen P. Boyd
2019 J jnl
Infeasibility Detection in the Alternating Direction Method of Multipliers for Convex Optimization.
J. Optim. Theory Appl.
Goran Banjac, Paul Goulart, Bartolomeo Stellato, Stephen P. Boyd
2019 J jnl
Learning Convex Optimization Control Policies.
CoRR
Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd, Bartolomeo Stellato
2019 J jnl
Online Mixed-Integer Optimization in Milliseconds.
CoRR
Dimitris Bertsimas, Bartolomeo Stellato
2018 — conf
Embedded Mixed-Integer Quadratic optimization Using the OSQP Solver.
ECC
Bartolomeo Stellato, Vihangkumar V. Naik, Alberto Bemporad, Paul Goulart, Stephen P. Boyd
2017 — conf
Embedded code generation using the OSQP solver.
CDC
Goran Banjac, Bartolomeo Stellato, Nicholas Moehle, Paul Goulart, Alberto Bemporad, Stephen P. Boyd
2017 J jnl
Second-Order Switching Time Optimization for Switched Dynamical Systems.
IEEE Trans. Autom. Control.
Bartolomeo Stellato, Sina Ober-Blöbaum, Paul J. Goulart
2016 — conf
High-speed direct model predictive control for power electronics.
ECC
Bartolomeo Stellato, Paul J. Goulart
2016 — conf
Optimal control of switching times in switched linear systems.
CDC
Bartolomeo Stellato, Sina Ober-Blöbaum, Paul J. Goulart
2016 — conf
Real-time FPGA implementation of direct MPC for power electronics.
CDC
Bartolomeo Stellato, Paul J. Goulart