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Anzahl der Publikationen: 8
Zeitschriftenartikel
Galli, Leonardo 
ORCID: https://orcid.org/0000-0002-8045-7101; Levato, Tommaso; Schoen, Fabio und Tigli, Luca
(Juni 2020):
Prescriptive analytics for inventory management in health care.
In: Journal of the Operational Research Society, Bd. 72, Nr. 10: S. 2211-2224
ORCID: https://orcid.org/0000-0002-8045-7101; Levato, Tommaso; Schoen, Fabio und Tigli, Luca
(Juni 2020):
Prescriptive analytics for inventory management in health care.
In: Journal of the Operational Research Society, Bd. 72, Nr. 10: S. 2211-2224
Galli, Leonardo ORCID: https://orcid.org/0000-0002-8045-7101; Galligari, Alessandro und Sciandrone, Marco
(November 2019):
A unified convergence framework for nonmonotone inexact decomposition methods.
In: Computational Optimization and Applications, Bd. 75, Nr. 1: S. 113-144
ORCID: https://orcid.org/0000-0002-8045-7101; Galligari, Alessandro und Sciandrone, Marco
(November 2019):
A unified convergence framework for nonmonotone inexact decomposition methods.
In: Computational Optimization and Applications, Bd. 75, Nr. 1: S. 113-144
Cocchi, Guido; Galli, Leonardo ORCID: https://orcid.org/0000-0002-8045-7101; Galvan, Giulio; Sciandrone, Marco; Cantù, Matteo und Tomaselli, Giuseppe
(2018):
Machine learning methods for short‐term bid forecasting in the renewable energy market: A case study in Italy.
In: Wind Energy, Bd. 21, Nr. 5: S. 285-371
ORCID: https://orcid.org/0000-0002-8045-7101; Galvan, Giulio; Sciandrone, Marco; Cantù, Matteo und Tomaselli, Giuseppe
(2018):
Machine learning methods for short‐term bid forecasting in the renewable energy market: A case study in Italy.
In: Wind Energy, Bd. 21, Nr. 5: S. 285-371
Galli, Leonardo ORCID: https://orcid.org/0000-0002-8045-7101; Kanzow, Christian und Sciandrone, Marco
(Oktober 2017):
A nonmonotone trust-region method for generalized Nash equilibrium and related problems with strong convergence properties.
In: Computational Optimization and Applications, Bd. 69: S. 629-652
ORCID: https://orcid.org/0000-0002-8045-7101; Kanzow, Christian und Sciandrone, Marco
(Oktober 2017):
A nonmonotone trust-region method for generalized Nash equilibrium and related problems with strong convergence properties.
In: Computational Optimization and Applications, Bd. 69: S. 629-652
Galli, Leonardo ORCID: https://orcid.org/0000-0002-8045-7101 und Lin, Chih-Jen
:
A Study on Truncated Newton Methods for Linear Classification.
In: IEEE Transactions on Neural Networks and Learning Systems:
2828 -2841
ORCID: https://orcid.org/0000-0002-8045-7101 und Lin, Chih-Jen
:
A Study on Truncated Newton Methods for Linear Classification.
In: IEEE Transactions on Neural Networks and Learning Systems:
2828 -2841
Parca, Luca; Pepe, Gerardo; Pietrosanto, Marco; Galvan, Giulio; Galli, Leonardo ORCID: https://orcid.org/0000-0002-8045-7101; Palmeri, Antonio; Sciandrone, Marco; Ferrè, Fabrizio; Ausiello, Gabriele und Helmer-Citterich, Manuela
:
Modeling cancer drug response through drug-specific informative genes.
In: Scientific Reports, Bd. 9, 15222
[PDF, 2MB]
ORCID: https://orcid.org/0000-0002-8045-7101; Palmeri, Antonio; Sciandrone, Marco; Ferrè, Fabrizio; Ausiello, Gabriele und Helmer-Citterich, Manuela
:
Modeling cancer drug response through drug-specific informative genes.
In: Scientific Reports, Bd. 9, 15222
[PDF, 2MB]
Konferenzbeitrag
Kenneweg, Philip; Galli, Leonardo ORCID: https://orcid.org/0000-0002-8045-7101; Kenneweg, Tristan und Hammer, Barbara
(2023):
Faster Convergence for Transformer Fine-tuning with Line Search Methods.
International Joint Conference on Neural Networks (IJCNN), Queensland, 28. - 23. June 2023.
In: 2023 International Joint Conference on Neural Networks (IJCNN),
Piscataway Township, New Jersey: IEEE. S. 1-8
ORCID: https://orcid.org/0000-0002-8045-7101; Kenneweg, Tristan und Hammer, Barbara
(2023):
Faster Convergence for Transformer Fine-tuning with Line Search Methods.
International Joint Conference on Neural Networks (IJCNN), Queensland, 28. - 23. June 2023.
In: 2023 International Joint Conference on Neural Networks (IJCNN),
Piscataway Township, New Jersey: IEEE. S. 1-8
Galli, Leonardo ORCID: https://orcid.org/0000-0002-8045-7101; Rauhut, Holger ORCID: https://orcid.org/0000-0003-4750-5092 und Schmidt, Mark
(2023):
Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models.
Advances in Neural Information Processing Systems, New Orleans, 10. - 16. December 2023.
ORCID: https://orcid.org/0000-0002-8045-7101; Rauhut, Holger ORCID: https://orcid.org/0000-0003-4750-5092 und Schmidt, Mark
(2023):
Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models.
Advances in Neural Information Processing Systems, New Orleans, 10. - 16. December 2023.