RUGGIERO, Valeria

RUGGIERO, Valeria  

Dipartimento di Scienze Fisiche, Informatiche e Matematiche  

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Titolo Data di pubblicazione Autore(i) File
A stochastic gradient method with variance control and variable learning rate for Deep Learning 1-gen-2024 Franchini, G.; Porta, F.; Ruggiero, V.; Trombini, I.; Zanni, L.
Correction to: A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction (Journal of Scientific Computing, (2023), 94, 1, (23), 10.1007/s10915-022-02084-3) 1-gen-2023 Franchini, G.; Porta, F.; Ruggiero, V.; Trombini, I.
Diagonal Barzilai-Borwein Rules in Stochastic Gradient-Like Methods 1-gen-2023 Franchini, G.; Porta, F.; Ruggiero, V.; Trombini, I.; Zanni, L.
Runge–Kutta-like scaling techniques for first-order methods in convex optimization 1-gen-2017 Porta, Federica; Cornelio, Anastasia; Ruggiero, Valeria
Serial and parallel approaches for image segmentation by numerical minimization of a second-order functional 1-gen-2018 Zanella, Riccardo; Porta, F.; Ruggiero, Valeria; Zanetti, M.
Special issue on optimization and learning methods for inverse problems in microscopy: in memory of Mario Bertero 1-gen-2024 Calatroni, Luca; Rebegoldi, Simone; Ruggiero, Valeria
Spectral properties of barzilai-borwein rules in solving singly linearly constrained optimization problems subject to lower and upper bounds 1-gen-2020 Crisci, S.; Porta, F.; Ruggiero, V.; Zanni, L.
Steplength and Mini-batch Size Selection in Stochastic Gradient Methods 1-gen-2020 Franchini, G.; Ruggiero, V.; Zanni, L.
Steplength selection in gradient projection methods for box-constrained quadratic programs 1-gen-2019 Crisci, Serena; Ruggiero, Valeria; Zanni, Luca
Variable metric techniques for forward–backward methods in imaging 1-gen-2021 Bonettini, S.; Porta, F.; Ruggiero, V.; Zanni, L.