Bartolomeo Stellato

Orcid: 0000-0003-4684-7111

Affiliations:
  • Princeton University, NJ, USA


According to our database1, Bartolomeo Stellato authored at least 27 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Exterior-Point Optimization for Sparse and Low-Rank Optimization.
J. Optim. Theory Appl., August, 2024

Frontiers in Operations: Equitable Data-Driven Facility Location and Resource Allocation to Fight the Opioid Epidemic.
Manuf. Serv. Oper. Manag., 2024

Learning to Warm-Start Fixed-Point Optimization Algorithms.
J. Mach. Learn. Res., 2024

Data-Driven Performance Guarantees for Classical and Learned Optimizers.
CoRR, 2024

A neural network-based approach to hybrid systems identification for control.
CoRR, 2024

Learning Hierarchical Control For Multi-Agent Capacity-Constrained Systems.
CoRR, 2024

Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots.
CoRR, 2024

2023
End-to-End Learning to Warm-Start for Real-Time Quadratic Optimization.
Proceedings of the Learning for Dynamics and Control Conference, 2023

RSQP: Problem-specific Architectural Customization for Accelerated Convex Quadratic Optimization.
Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

Learning Rationality in Potential Games.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
CoCo: Online Mixed-Integer Control Via Supervised Learning.
IEEE Robotics Autom. Lett., 2022

Online Mixed-Integer Optimization in Milliseconds.
INFORMS J. Comput., 2022

Embedded Code Generation With CVXPY.
IEEE Control. Syst. Lett., 2022

2021
Machine Learning for Real-Time Heart Disease Prediction.
IEEE J. Biomed. Health Informatics, 2021

The voice of optimization.
Mach. Learn., 2021

Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Accelerating Quadratic Optimization with Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
OSQP: an operator splitting solver for quadratic programs.
Math. Program. Comput., 2020

Learning Convex Optimization Control Policies.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Infeasibility Detection in the Alternating Direction Method of Multipliers for Convex Optimization.
J. Optim. Theory Appl., 2019

2018
Embedded Mixed-Integer Quadratic optimization Using the OSQP Solver.
Proceedings of the 16th European Control Conference, 2018

2017
Second-Order Switching Time Optimization for Switched Dynamical Systems.
IEEE Trans. Autom. Control., 2017

Embedded code generation using the OSQP solver.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
High-speed direct model predictive control for power electronics.
Proceedings of the 15th European Control Conference, 2016

Optimal control of switching times in switched linear systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Real-time FPGA implementation of direct MPC for power electronics.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016


  Loading...