Sfoglia per Autore
Learning fused lasso parameters in portfolio selection via neural networks
2024 Corsaro, Stefania; De Simone, Valentina; Marino, Zelda; Scognamiglio, Salvatore
Free knot spline estimation with two roughness penalty terms for functional data and its application to clustering
2023 DE MAGISTRIS, Anna; DE SIMONE, Valentina; Romano, Elvira; Toraldo, Gerardo
On the Adaptive Penalty Parameter Selection in ADMM
2023 Crisci, S.; De Simone, V.; Viola, M.
Segmenting MR Images Through Texture Extraction and Multiplicative Components Optimization
2023 Antonelli, Laura; De Simone, Valentina; Viola, Marco
Nonconvex multi-period mean-variance portfolio optimization
2023 Wu, Z.; Xie, G.; Ge, Z.; De Simone, V.
Cartoon-texture evolution for two-region image segmentation
2023 Antonelli, L.; De Simone, V.; Viola, M.
l1-Regularization in Portfolio Selection with Machine Learning
2022 Corsaro, S.; De Simone, V.; Marino, Z.; Scognamiglio, S.
A view of computational models for image segmentation
2022 Antonelli, L.; De Simone, V.; di Serafino, D.
Sparse Approximations with Interior Point Methods
2022 DE SIMONE, Valentina; di Serafino, Daniela; Gondzio, Jacek; Pougkakiotis, Spyridon; Viola, Marco
Fused Lasso approach in portfolio selection
2021 Corsaro, Stefania; DE SIMONE, Valentina; Marino, Zelda
Split Bregman iteration for multi-period mean variance portfolio optimization
2021 Corsaro, Stefania; De Simone, Valentina; Marino, Zelda
Spatially Adaptive Regularization in Image Segmentation
2020 Antonelli, Laura; De Simone, Valentina; di Serafino, Daniela
A SUBSPACE-ACCELERATED SPLIT BREGMAN METHOD FOR SPARSE DATA RECOVERY WITH JOINT L1-TYPE REGULARIZERS
2020 DE SIMONE, Valentina; DI SERAFINO, Daniela; Viola, Marco
l1 -Regularization for multi-period portfolio selection
2020 Corsaro, Stefania; De Simone, Valentina; Marino, Zelda; Perla, Francesca
Adaptive l1 -regularization for short-selling control in portfolio selection
2019 Corsaro, Stefania; DE SIMONE, Valentina
On preconditioner updates for sequences of saddle-point linear systems
2018 De Simone, V.; di Serafino, D.; Morini, B.
Numerical solution of the regularized portfolio selection problem
2018 Corsaro, Stefania; DE SIMONE, Valentina; Marino, Zelda; Perla, Francesca
Comparison of minimization methods for nonsmooth image segmentation
2018 Antonelli, L.; De Simone, V.
BFGS-like updates of constraint preconditioners for sequences of KKT linear systems in quadratic programming
2018 Bergamaschi, Luca; De Simone, Valentina; di Serafino, Daniela; Martìnez, Angeles
On the application of the spectral projected gradient method in image segmentation
2016 Antonelli, L; DE SIMONE, Valentina; DI SERAFINO, Daniela
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Learning fused lasso parameters in portfolio selection via neural networks | 1-gen-2024 | Corsaro, Stefania; De Simone, Valentina; Marino, Zelda; Scognamiglio, Salvatore | |
Free knot spline estimation with two roughness penalty terms for functional data and its application to clustering | 1-gen-2023 | DE MAGISTRIS, Anna; DE SIMONE, Valentina; Romano, Elvira; Toraldo, Gerardo | |
On the Adaptive Penalty Parameter Selection in ADMM | 1-gen-2023 | Crisci, S.; De Simone, V.; Viola, M. | |
Segmenting MR Images Through Texture Extraction and Multiplicative Components Optimization | 1-gen-2023 | Antonelli, Laura; De Simone, Valentina; Viola, Marco | |
Nonconvex multi-period mean-variance portfolio optimization | 1-gen-2023 | Wu, Z.; Xie, G.; Ge, Z.; De Simone, V. | |
Cartoon-texture evolution for two-region image segmentation | 1-gen-2023 | Antonelli, L.; De Simone, V.; Viola, M. | |
l1-Regularization in Portfolio Selection with Machine Learning | 1-gen-2022 | Corsaro, S.; De Simone, V.; Marino, Z.; Scognamiglio, S. | |
A view of computational models for image segmentation | 1-gen-2022 | Antonelli, L.; De Simone, V.; di Serafino, D. | |
Sparse Approximations with Interior Point Methods | 1-gen-2022 | DE SIMONE, Valentina; di Serafino, Daniela; Gondzio, Jacek; Pougkakiotis, Spyridon; Viola, Marco | |
Fused Lasso approach in portfolio selection | 1-gen-2021 | Corsaro, Stefania; DE SIMONE, Valentina; Marino, Zelda | |
Split Bregman iteration for multi-period mean variance portfolio optimization | 1-gen-2021 | Corsaro, Stefania; De Simone, Valentina; Marino, Zelda | |
Spatially Adaptive Regularization in Image Segmentation | 1-gen-2020 | Antonelli, Laura; De Simone, Valentina; di Serafino, Daniela | |
A SUBSPACE-ACCELERATED SPLIT BREGMAN METHOD FOR SPARSE DATA RECOVERY WITH JOINT L1-TYPE REGULARIZERS | 1-gen-2020 | DE SIMONE, Valentina; DI SERAFINO, Daniela; Viola, Marco | |
l1 -Regularization for multi-period portfolio selection | 1-gen-2020 | Corsaro, Stefania; De Simone, Valentina; Marino, Zelda; Perla, Francesca | |
Adaptive l1 -regularization for short-selling control in portfolio selection | 1-gen-2019 | Corsaro, Stefania; DE SIMONE, Valentina | |
On preconditioner updates for sequences of saddle-point linear systems | 1-gen-2018 | De Simone, V.; di Serafino, D.; Morini, B. | |
Numerical solution of the regularized portfolio selection problem | 1-gen-2018 | Corsaro, Stefania; DE SIMONE, Valentina; Marino, Zelda; Perla, Francesca | |
Comparison of minimization methods for nonsmooth image segmentation | 1-gen-2018 | Antonelli, L.; De Simone, V. | |
BFGS-like updates of constraint preconditioners for sequences of KKT linear systems in quadratic programming | 1-gen-2018 | Bergamaschi, Luca; De Simone, Valentina; di Serafino, Daniela; Martìnez, Angeles | |
On the application of the spectral projected gradient method in image segmentation | 1-gen-2016 | Antonelli, L; DE SIMONE, Valentina; DI SERAFINO, Daniela |
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