Francesco Rinaldi
Orcid: 0000-0001-8978-6027Affiliations:
- Department of Computer and System Sciences, Sapienza University of Rome
According to our database1,
Francesco Rinaldi
authored at least 66 papers
between 2009 and 2024.
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Bibliography
2024
J. Glob. Optim., January, 2024
2023
J. Optim. Theory Appl., November, 2023
Laplacian-based semi-Supervised learning in multilayer hypergraphs by coordinate descent.
EURO J. Comput. Optim., January, 2023
Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization.
CoRR, 2023
An improved penalty algorithm using model order reduction for MIPDECO problems with partial observations.
Comput. Optim. Appl., 2023
Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs.
Proceedings of the International Conference on Machine Learning, 2023
2022
A variance-aware multiobjective Louvain-like method for community detection in multiplex networks.
J. Complex Networks, October, 2022
SIAM J. Math. Data Sci., 2022
J. Glob. Optim., 2022
Mining for diamonds - Matrix generation algorithms for binary quadratically constrained quadratic problems.
Comput. Oper. Res., 2022
Comput. Optim. Appl., 2022
Minimization over the ℓ <sub>1</sub>-ball using an active-set non-monotone projected gradient.
Comput. Optim. Appl., 2022
Comput. Math. Appl., 2022
2021
Comput. Optim. Appl., 2021
Scanning integer points with lex-inequalities: a finite cutting plane algorithm for integer programming with linear objective.
4OR, 2021
Frank-Wolfe and friends: a journey into projection-free first-order optimization methods.
4OR, 2021
Code Protection Techniques when Distributed in Source Format: an Adobe Connect Pod Written in Javascript.
Proceedings of the Scholar's Yearly Symposium of Technology, 2021
2020
SIAM J. Appl. Math., 2020
An algorithmic framework based on primitive directions and nonmonotone line searches for black-box optimization problems with integer variables.
Math. Program. Comput., 2020
An active-set algorithmic framework for non-convex optimization problems over the simplex.
Comput. Optim. Appl., 2020
A conjugate direction based simplicial decomposition framework for solving a specific class of dense convex quadratic programs.
Comput. Optim. Appl., 2020
2019
Trust-Region Methods for the Derivative-Free Optimization of Nonsmooth Black-Box Functions.
SIAM J. Optim., 2019
First-order Methods for the Impatient: Support Identification in Finite Time with Convergent Frank-Wolfe Variants.
SIAM J. Optim., 2019
Math. Oper. Res., 2019
Games Econ. Behav., 2019
Improved Penalty Algorithm for Mixed Integer PDE Constrained Optimization (MIPDECO) Problems.
CoRR, 2019
2018
J. Glob. Optim., 2018
Comput. Optim. Appl., 2018
2017
J. Optim. Theory Appl., 2017
Hybrid Global/Local Derivative-Free Multi-objective Optimization via Deterministic Particle Swarm with Local Linesearch.
Proceedings of the Machine Learning, Optimization, and Big Data, 2017
2016
A Simulation-Based Multiobjective Optimization Approach for Health Care Service Management.
IEEE Trans Autom. Sci. Eng., 2016
A Fast Active Set Block Coordinate Descent Algorithm for ℓ<sub>1</sub>-Regularized Least Squares.
SIAM J. Optim., 2016
SIAM J. Optim., 2016
A Feasible Active Set Method with Reoptimization for Convex Quadratic Mixed-Integer Programming.
SIAM J. Optim., 2016
A derivative-free approach for a simulation-based optimization problem in healthcare.
Optim. Lett., 2016
Comput. Optim. Appl., 2016
2015
Solving ℓ<sub>0</sub>-penalized problems with simple constraints via the Frank-Wolfe reduced dimension method.
Optim. Lett., 2015
A Derivative-Free Algorithm for Constrained Global Optimization Based on Exact Penalty Functions.
J. Optim. Theory Appl., 2015
J. Optim. Theory Appl., 2015
A class of derivative-free nonmonotone optimization algorithms employing coordinate rotations and gradient approximations.
Comput. Optim. Appl., 2015
2014
SIAM J. Optim., 2014
Discret. Appl. Math., 2014
A variable fixing version of the two-block nonlinear constrained Gauss-Seidel algorithm for \(\ell _1\) -regularized least-squares.
Comput. Optim. Appl., 2014
Combining optimization and machine learning techniques for genome-wide prediction of human cell cycle-regulated genes.
Bioinform., 2014
2013
A New Class of Functions for Measuring Solution Integrality in the Feasibility Pump Approach.
SIAM J. Optim., 2013
An exact penalty global optimization approach for mixed-integer programming problems.
Optim. Lett., 2013
2012
Finite-Element-Based Multiobjective Design Optimization Procedure of Interior Permanent Magnet Synchronous Motors for Wide Constant-Power Region Operation.
IEEE Trans. Ind. Electron., 2012
Optim. Methods Softw., 2012
J. Optim. Theory Appl., 2012
J. Glob. Optim., 2012
Comput. Optim. Appl., 2012
2011
Concave programming for finding sparse solutions to problems with convex constraints.
Optim. Methods Softw., 2011
Path loss prediction in urban environment using learning machines and dimensionality reduction techniques.
Comput. Manag. Sci., 2011
Proceedings of the 10th Cologne-Twente Workshop on graphs and combinatorial optimization. Extended Abstracts, 2011
Proceedings of the 10th Cologne-Twente Workshop on graphs and combinatorial optimization. Extended Abstracts, 2011
2010
Optim. Methods Softw., 2010
Comput. Optim. Appl., 2010
2009
New results on the equivalence between zero-one programming and continuous concave programming.
Optim. Lett., 2009
Appl. Math. Comput., 2009