Stellato, Bartolomeo

10 publications

TMLR 2026 On the (linear) Convergence of Generalized Newton Inexact ADMM Zachary Frangella, Theo Diamandis, Bartolomeo Stellato, Madeleine Udell

NeurIPS 2025 AlgoTune: Can Language Models Speed up General-Purpose Numerical Programs? Ori Press, Brandon Amos, Haoyu Zhao, Yikai Wu, Samuel Ainsworth, Dominik Krupke, Patrick Kidger, Touqir Sajed, Bartolomeo Stellato, Jisun Park, Nathanael Bosch, Eli Meril, Albert Steppi, Arman Zharmagambetov, Fangzhao Zhang, David Pérez-Piñeiro, Alberto Mercurio, Ni Zhan, Talor Abramovich, Kilian Lieret, Hanlin Zhang, Shirley Huang, Matthias Bethge, Ofir Press

JMLR 2025 Data-Driven Performance Guarantees for Classical and Learned Optimizers Rajiv Sambharya, Bartolomeo Stellato

JMLR 2024 Learning to Warm-Start Fixed-Point Optimization Algorithms Rajiv Sambharya, Georgina Hall, Brandon Amos, Bartolomeo Stellato

L4DC 2023 End-to-End Learning to Warm-Start for Real-Time Quadratic Optimization Rajiv Sambharya, Georgina Hall, Brandon Amos, Bartolomeo Stellato

NeurIPS 2021 Accelerating Quadratic Optimization with Reinforcement Learning Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E Gonzalez, Ion Stoica, Ken Goldberg

NeurIPS 2021 Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies Tim Seyde, Igor Gilitschenski, Wilko Schwarting, Bartolomeo Stellato, Martin Riedmiller, Markus Wulfmeier, Daniela Rus

MLJ 2021 The Voice of Optimization Dimitris Bertsimas, Bartolomeo Stellato

NeurIPSW 2020 COCO: Learning Strategies for Online Mixed-Integer Control Abhishek Cauligi, Preston Culbertson, Mac Schwager, Bartolomeo Stellato, Marco Pavone

L4DC 2020 Learning Convex Optimization Control Policies Akshay Agrawal, Shane Barratt, Stephen Boyd, Bartolomeo Stellato