Simone Sagratella

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 26

Top Topics

Linearly Constrained

Variational Inequalities

Top Venues

Comput. Optim. Appl.

J. Optim. Theory Appl.

Math. Methods Oper. Res.

Publications

Francesco Cesarone, Lorenzo Lampariello, Davide Merolla, Jacopo M. Ricci, Simone Sagratella, Valerio Giuseppe Sasso
A bilevel approach to ESG multi-portfolio selection. Comput. Manag. Sci. 20 (1) (2023)
Giancarlo Bigi, Lorenzo Lampariello, Simone Sagratella, Valerio Giuseppe Sasso
Approximate variational inequalities and equilibria. Comput. Manag. Sci. 20 (1) (2023)
Filippo Fabiani, Simone Sagratella
On best-response algorithms for monotone Nash equilibrium problems with mixed-integer variables. CoRR (2023)
Filippo Fabiani, Barbara Franci, Simone Sagratella, Martin Schmidt, Mathias Staudigl
Proximal-like algorithms for equilibrium seeking in mixed-integer Nash equilibrium problems. CDC (2022)
Filippo Fabiani, Barbara Franci, Simone Sagratella, Martin Schmidt, Mathias Staudigl
Proximal-like algorithms for equilibrium seeking in mixed-integer Nash equilibrium problems. CoRR (2022)
Lorenzo Lampariello, Gianluca Priori, Simone Sagratella
On the solution of monotone nested variational inequalities. Math. Methods Oper. Res. 96 (3) (2022)
Lorenzo Lampariello, Christoph Neumann, Jacopo M. Ricci, Simone Sagratella, Oliver Stein
Equilibrium selection for multi-portfolio optimization. Eur. J. Oper. Res. 295 (1) (2021)
Lorenzo Lampariello, Simone Sagratella
Numerically tractable optimistic bilevel problems. Comput. Optim. Appl. 76 (2) (2020)
Yekini Shehu, Aviv Gibali, Simone Sagratella
Inertial Projection-Type Methods for Solving Quasi-Variational Inequalities in Real Hilbert Spaces. J. Optim. Theory Appl. 184 (3) (2020)
Simone Sagratella, Marcel Schmidt, Nathan Sudermann-Merx
The noncooperative fixed charge transportation problem. Eur. J. Oper. Res. 284 (1) (2020)
Tommaso Colombo, Simone Sagratella
Distributed algorithms for convex problems with linear coupling constraints. J. Glob. Optim. 77 (1) (2020)
Lorenzo Lampariello, Christoph Neumann, Jacopo M. Ricci, Simone Sagratella, Oliver Stein
An explicit Tikhonov algorithm for nested variational inequalities. Comput. Optim. Appl. 77 (2) (2020)
Axel Dreves, Simone Sagratella
Nonsingularity and Stationarity Results for Quasi-Variational Inequalities. J. Optim. Theory Appl. 185 (3) (2020)
Andrea Manno, Laura Palagi, Simone Sagratella
Case Article - Production and Distribution Optimization of Beach Equipment for the Marinero Company. INFORMS Trans. Educ. 19 (3) (2019)
Francesco Foglino, Matteo Leonetti, Simone Sagratella, Ruggiero Seccia
A gray-box approach for curriculum learning. CoRR (2019)
Lorenzo Lampariello, Simone Sagratella, Oliver Stein
The Standard Pessimistic Bilevel Problem. SIAM J. Optim. 29 (2) (2019)
Francesco Foglino, Matteo Leonetti, Simone Sagratella, Ruggiero Seccia
A Gray-Box Approach for Curriculum Learning. WCGO (2019)
Andrea Manno, Laura Palagi, Simone Sagratella
Case - Production and Distribution Optimization of Beach Equipment for the Marinero Company. INFORMS Trans. Educ. 19 (3) (2019)
Andrea Manno, Laura Palagi, Simone Sagratella
Parallel decomposition methods for linearly constrained problems subject to simple bound with application to the SVMs training. Comput. Optim. Appl. 71 (1) (2018)
Didier Aussel, Simone Sagratella
Sufficient conditions to compute any solution of a quasivariational inequality via a variational inequality. Math. Methods Oper. Res. 85 (1) (2017)
Lorenzo Lampariello, Simone Sagratella
A Bridge Between Bilevel Programs and Nash Games. J. Optim. Theory Appl. 174 (2) (2017)
Simone Sagratella
Computing equilibria of Cournot oligopoly models with mixed-integer quantities. Math. Methods Oper. Res. 86 (3) (2017)
Simone Sagratella
Algorithms for generalized potential games with mixed-integer variables. Comput. Optim. Appl. 68 (3) (2017)
Andrea Manno, Simone Sagratella, Lorenzo Livi
A convergent and fully distributable SVMs training algorithm. IJCNN (2016)
Simone Sagratella
Computing All Solutions of Nash Equilibrium Problems with Discrete Strategy Sets. SIAM J. Optim. 26 (4) (2016)
Vittorio Latorre, Simone Sagratella
A canonical duality approach for the solution of affine quasi-variational inequalities. J. Glob. Optim. 64 (3) (2016)
Francisco Facchinei, Christian Kanzow, Sebastian Karl, Simone Sagratella
The semismooth Newton method for the solution of quasi-variational inequalities. Comput. Optim. Appl. 62 (1) (2015)
Francisco Facchinei, Gesualdo Scutari, Simone Sagratella
Parallel Selective Algorithms for Nonconvex Big Data Optimization. IEEE Trans. Signal Process. 63 (7) (2015)
Francisco Facchinei, Simone Sagratella, Gesualdo Scutari
Parallel Algorithms for Big Data Optimization. CoRR (2014)
Francisco Facchinei, Christian Kanzow, Simone Sagratella
Solving quasi-variational inequalities via their KKT conditions. Math. Program. 144 (1-2) (2014)
Francisco Facchinei, Simone Sagratella, Gesualdo Scutari
Flexible parallel algorithms for big data optimization. ICASSP (2014)
Francisco Facchinei, Simone Sagratella, Gesualdo Scutari
Flexible Parallel Algorithms for Big Data Optimization. CoRR (2013)
Axel Dreves, Francisco Facchinei, Christian Kanzow, Simone Sagratella
On the solution of the KKT conditions of generalized Nash equilibrium problems. SIAM J. Optim. 21 (3) (2011)
Francisco Facchinei, Simone Sagratella
On the computation of all solutions of jointly convex generalized Nash equilibrium problems. Optim. Lett. 5 (3) (2011)
Silvia Canale, Alberto De Santis, Daniela Iacoviello, Fiora Pirri, Simone Sagratella
Integrating X-SAR images and anthropic factors for fire susceptibility assessment. IGARSS (2011)