Below my articles since September 2021. For older dates please see scholar.
Preprints, Working Papers, ...3 documents
Filippo Fabiani, Andrea Simonetto, Paul J. Goulart. Personalized incentives as feedback design in generalized Nash equilibrium problems. 2022. ⟨hal-03664775⟩
Liam Madden, Albert Akhriev, Andrea Simonetto. Sketching the Best Approximate Quantum Compiling Problem. 2022. ⟨hal-03664784⟩
Nicola Mariella, Andrea Simonetto. A Quantum Algorithm for the Sub-Graph Isomorphism Problem. 2021. ⟨hal-03436336⟩
Journal articles3 documents
Ivano Notarnicola, Andrea Simonetto, Francesco Farina, Giuseppe Notarstefano. Distributed Personalized Gradient Tracking with Convex Parametric Models. IEEE Transactions on Automatic Control, Institute of Electrical and Electronics Engineers, In press, pp.1-1. ⟨10.1109/TAC.2022.3147007⟩. ⟨hal-03552878⟩
Liam Madden, Andrea Simonetto. Best Approximate Quantum Compiling Problems. ACM Transactions on Quantum Computing, ACM, 2022, 3 (4), ⟨10.1145/3505181⟩. ⟨hal-03476912⟩
Andrea Simonetto, Emiliano Dall'Anese, Julien Monteil, Andrey Bernstein. Personalized optimization with user’s feedback. Automatica, Elsevier, 2021, 131, pp.109767. ⟨10.1016/j.automatica.2021.109767⟩. ⟨hal-03388648⟩
Conference papers2 documents
Nicola Bastianello, Andrea Simonetto, Emiliano Dall'Anese. OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression. Learning for Dynamics & Control Conference, Jun 2022, Stanford, United States. ⟨hal-03664795⟩
Filippo Fabiani, Andrea Simonetto, Paul J. Goulart. Learning equilibria with personalized incentives in a class of nonmonotone games. European Control Conference, Jul 2022, London, United Kingdom. ⟨hal-03429468⟩