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Dive into the research topics where Bartolomeo Stellato is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 2 Active
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YIP Data-driven analysis and design of mathematical optimization algorithms
Stellato, B. (PI)
3/1/25 → 2/29/28
Project: Research project
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CAREER: Learning For Real-Time Embedded Optimization
Stellato, B. (PI)
NSF - National Science Foundation
6/1/23 → 5/31/28
Project: Research project
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GeNIOS: an (almost) second-order operator-splitting solver for large-scale convex optimization
Diamandis, T., Frangella, Z., Zhao, S., Stellato, B. & Udell, M., Sep 2026, In: Mathematical Programming Computation. 18, 3, p. 629-677 49 p.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations -
Learning Algorithm Hyperparameters for Fast Parametric Convex Optimization
Sambharya, R. & Stellato, B., 2026, In: SIAM Journal on Mathematics of Data Science. 8, 3, p. 649-676 28 p.Research output: Contribution to journal › Article › peer-review
Open Access -
On the (linear) convergence of Generalized Newton Inexact ADMM
Frangella, Z., Diamandis, T., Stellato, B. & Udell, M., Jan 1 2026, In: Transactions on Machine Learning Research. 2026-JanuaryResearch output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations -
A neural network-based approach to hybrid systems identification for control
Fabiani, F., Stellato, B., Masti, D. & Goulart, P. J., Apr 2025, In: Automatica. 174, 112130.Research output: Contribution to journal › Article › peer-review
Open Access4 Link opens in a new tab Scopus citations -
Data-Driven Performance Guarantees for Classical and Learned Optimizers
Sambharya, R. & Stellato, B., 2025, In: Journal of Machine Learning Research. 26Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations