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francisco.facchinei@uniroma1.it
Francisco Facchinei
Professore Ordinario
Struttura:
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
E-mail:
francisco.facchinei@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
Deep Neural Network Regression to Assist Non-Invasive Diagnosis of Portal Hypertension
HEALTHCARE
2023
Iteration Complexity of a Fixed-Stepsize SQP Method for Nonconvex Optimization with Convex Constraints
Numerical Analysis and Optimization. NAO 2020
2022
Ghost Penalties in Nonconvex Constrained Optimization: Diminishing Stepsizes and Iteration Complexity
MATHEMATICS OF OPERATIONS RESEARCH
2021
Asynchronous parallel algorithms for nonconvex optimization
MATHEMATICAL PROGRAMMING
2020
Asynchronous optimization over graphs: linear convergence under error bound conditions
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
2020
Diminishing stepsize methods for nonconvex composite problems via ghost penalties: from the general to the convex regular constrained case
OPTIMIZATION METHODS & SOFTWARE
2020
Convergence rate for diminishing stepsize methods in nonconvex constrained optimization via ghost penalties
ATTI DELLA ACCADEMIA PELORITANA DEI PERICOLANTI, CLASSE DI SCIENZE FISICHE, MATEMATICHE E NATURALI
2020
Decentralized Dictionary Learning Over Time-Varying Digraphs
JOURNAL OF MACHINE LEARNING RESEARCH
2019
Multi-Agent asynchronous nonconvex large-scale optimization
2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017
2018
Multi-agent optimization
2018
Preface
Multi-agent Optimization
2018
Feasible methods for nonconvex nonsmooth problems with applications in green communications
MATHEMATICAL PROGRAMMING
2017
Parallel and Distributed Methods for Constrained Nonconvex Optimization—Part I: Theory
IEEE TRANSACTIONS ON SIGNAL PROCESSING
2017
Parallel and Distributed Methods for Constrained Nonconvex Optimization-Part II: Applications in Communications and Machine Learning
IEEE TRANSACTIONS ON SIGNAL PROCESSING
2017
Distributed dictionary learning
2016 50th Asilomar Conference on Signals, Systems and Computers
2017
Asynchronous parallel nonconvex large-scale optimization
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2017
D2L: Decentralized dictionary learning over dynamic networks
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2017
Essentially cyclic asynchronous nonconvex large-scale optimization
2017 IEEE 18th International Workshop on Signal. Processing Advances in Wireless Communications (SPAWC 2017)
2017
A game-theoretic approach to computation offloading in mobile cloud computing
MATHEMATICAL PROGRAMMING
2016
Preface
MATHEMATICAL PROGRAMMING
2016
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Progetti di Ricerca
Ghost penalties in optimization
Distributed optimization algorithms for Big Data
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