Pubblicazioni

Learning multi-frequency partial correlation graphs

2024 - IEEE TRANSACTIONS ON SIGNAL PROCESSING
D'Acunto, G.; Di Lorenzo, P.; Bonchi, F.; Sardellitti, S.; Barbarossa, S.

Convergent Inexact Penalty Decomposition Methods for Cardinality-Constrained Problems

2021 - JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
Lapucci, M.; Levato, T.; Sciandrone, M.

Distributed tensor completion over networks

2020 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Battiloro, C.; Di Lorenzo, P.

Asynchronous optimization over graphs: linear convergence under error bound conditions

2020 - IEEE TRANSACTIONS ON AUTOMATIC CONTROL
Cannelli, Loris; Facchinei, Francisco; Scutari, Gesualdo; Kungurtsev, Vyacheslav

Diminishing stepsize methods for nonconvex composite problems via ghost penalties: from the general to the convex regular constrained case

2020 - OPTIMIZATION METHODS & SOFTWARE
Facchinei, F.; Kungurtsev, V.; Lampariello, L.; Scutari, G.

Stochastic training of neural networks via successive convex approximations

2018 - IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
Scardapane, Simone; DI LORENZO, Paolo

Parallel and Distributed Methods for Constrained Nonconvex Optimization—Part I: Theory

2017 - IEEE TRANSACTIONS ON SIGNAL PROCESSING
Scutari, Gesualdo; Facchinei, Francisco; Lampariello, Lorenzo

Parallel and Distributed Methods for Constrained Nonconvex Optimization-Part II: Applications in Communications and Machine Learning

2017 - IEEE TRANSACTIONS ON SIGNAL PROCESSING
Scutari, Gesualdo; Facchinei, Francisco; Lampariello, Lorenzo; Sardellitti, Stefania; Song, Peiran

Parallel and distributed training of neural networks via successive convex approximation

2016 - IEEE International Workshop on Machine Learning for Signal Processing, MLSP
DI LORENZO, Paolo; Scardapane, Simone

Distributed nonconvex optimization over networks

2015 - IEEE ICAMSAP 2015
Di Lorenzo, P; Scutari, G.

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