Integrating X-SAR images and anthropic factors for fire susceptibility assessment. - Silvia Canale; Alberto De Santis; Daniela Iacoviello; Fiora Pirri; Simone Sagratella (IGARSS, 2011)

On the computation of all solutions of jointly convex generalized Nash equilibrium problems. - Francisco Facchinei; Simone Sagratella (Optim. Lett., 2011)

On the solution of the KKT conditions of generalized Nash equilibrium problems. - Axel Dreves; Francisco Facchinei; Christian Kanzow; Simone Sagratella (SIAM J. Optim., 2011)

Flexible parallel algorithms for big data optimization. - Francisco Facchinei; Simone Sagratella; Gesualdo Scutari (ICASSP, 2014)

Parallel Algorithms for Big Data Optimization. - Francisco Facchinei; Simone Sagratella; Gesualdo Scutari (CoRR, 2014)

Solving quasi-variational inequalities via their KKT conditions. - Francisco Facchinei; Christian Kanzow; Simone Sagratella (Math. Program., 2014)

The semismooth Newton method for the solution of quasi-variational inequalities. - Francisco Facchinei; Christian Kanzow; Sebastian Karl; Simone Sagratella (Comput. Optim. Appl., 2015)

Parallel Selective Algorithms for Nonconvex Big Data Optimization. - Francisco Facchinei; Gesualdo Scutari; Simone Sagratella (IEEE Trans. Signal Process., 2015)

A convergent and fully distributable SVMs training algorithm. - Andrea Manno; Simone Sagratella; Lorenzo Livi (IJCNN, 2016)

A canonical duality approach for the solution of affine quasi-variational inequalities. - Vittorio Latorre; Simone Sagratella (J. Glob. Optim., 2016)

Computing All Solutions of Nash Equilibrium Problems with Discrete Strategy Sets. - Simone Sagratella (SIAM J. Optim., 2016)

Algorithms for generalized potential games with mixed-integer variables. - Simone Sagratella (Comput. Optim. Appl., 2017)

A Bridge Between Bilevel Programs and Nash Games. - Lorenzo Lampariello; Simone Sagratella (J. Optim. Theory Appl., 2017)

Sufficient conditions to compute any solution of a quasivariational inequality via a variational inequality. - Didier Aussel; Simone Sagratella (Math. Methods Oper. Res., 2017)

Computing equilibria of Cournot oligopoly models with mixed-integer quantities. - Simone Sagratella (Math. Methods Oper. Res., 2017)

Parallel decomposition methods for linearly constrained problems subject to simple bound with application to the SVMs training. - Andrea Manno; Laura Palagi; Simone Sagratella (Comput. Optim. Appl., 2018)

A Gray-Box Approach for Curriculum Learning. - Francesco Foglino; Matteo Leonetti; Simone Sagratella; Ruggiero Seccia (WCGO, 2019)

Case Article - Production and Distribution Optimization of Beach Equipment for the Marinero Company. - Andrea Manno; Laura Palagi; Simone Sagratella (INFORMS Trans. Educ., 2019)

Case - Production and Distribution Optimization of Beach Equipment for the Marinero Company. - Andrea Manno; Laura Palagi; Simone Sagratella (INFORMS Trans. Educ., 2019)

The Standard Pessimistic Bilevel Problem. - Lorenzo Lampariello; Simone Sagratella; Oliver Stein (SIAM J. Optim., 2019)

An explicit Tikhonov algorithm for nested variational inequalities. - Lorenzo Lampariello; Christoph Neumann 002; Jacopo M. Ricci; Simone Sagratella; Oliver Stein (Comput. Optim. Appl., 2020)

Numerically tractable optimistic bilevel problems. - Lorenzo Lampariello; Simone Sagratella (Comput. Optim. Appl., 2020)

The noncooperative fixed charge transportation problem. - Simone Sagratella; Marcel Schmidt; Nathan Sudermann-Merx (Eur. J. Oper. Res., 2020)

Distributed algorithms for convex problems with linear coupling constraints. - Tommaso Colombo; Simone Sagratella (J. Glob. Optim., 2020)

Nonsingularity and Stationarity Results for Quasi-Variational Inequalities. - Axel Dreves; Simone Sagratella (J. Optim. Theory Appl., 2020)

Inertial Projection-Type Methods for Solving Quasi-Variational Inequalities in Real Hilbert Spaces. - Yekini Shehu; Aviv Gibali; Simone Sagratella (J. Optim. Theory Appl., 2020)

Equilibrium selection for multi-portfolio optimization. - Lorenzo Lampariello; Christoph Neumann 002; Jacopo M. Ricci; Simone Sagratella; Oliver Stein (Eur. J. Oper. Res., 2021)

Proximal-like algorithms for equilibrium seeking in mixed-integer Nash equilibrium problems. - Filippo Fabiani; Barbara Franci; Simone Sagratella; Martin Schmidt 003; Mathias Staudigl (CDC, 2022)

On the solution of monotone nested variational inequalities. - Lorenzo Lampariello; Gianluca Priori; Simone Sagratella (Math. Methods Oper. Res., 2022)

On best-response algorithms for monotone Nash equilibrium problems with mixed-integer variables. - Filippo Fabiani; Simone Sagratella (CoRR, 2023)

Approximate variational inequalities and equilibria. - Giancarlo Bigi; Lorenzo Lampariello; Simone Sagratella; Valerio Giuseppe Sasso (Comput. Manag. Sci., 2023)

A bilevel approach to ESG multi-portfolio selection. - Francesco Cesarone; Lorenzo Lampariello; Davide Merolla; Jacopo M. Ricci; Simone Sagratella; Valerio Giuseppe Sasso (Comput. Manag. Sci., 2023)

Addressing Hierarchical Jointly Convex Generalized Nash Equilibrium Problems with Nonsmooth Payoffs. - Lorenzo Lampariello; Simone Sagratella; Valerio Giuseppe Sasso (SIAM J. Optim., 2025)