Andrea Simonetto (ENSTA Paris)

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⟩

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⟩

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⟩