Ilaria Trombini

According to our database, Ilaria Trombini authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Variable metric proximal stochastic gradient methods with additional sampling.

Natasa Krklec Jerinkic, Federica Porta, Valeria Ruggiero, Ilaria Trombini

Comput. Optim. Appl., January, 2026

2025

Spectral stochastic gradient method with additional sampling for finite and infinite sums.

Natasa Krklec Jerinkic, Valeria Ruggiero, Ilaria Trombini

Comput. Optim. Appl., June, 2025

2024

A stochastic gradient method with variance control and variable learning rate for Deep Learning.

Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini, Luca Zanni

J. Comput. Appl. Math., 2024

2023

Correction to: A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction.

Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini

J. Sci. Comput., August, 2023

A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction.

Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini

J. Sci. Comput., 2023

Diagonal Barzilai-Borwein Rules in Stochastic Gradient-Like Methods.

Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini, Luca Zanni

Proceedings of the Optimization and Learning - 6th International Conference, 2023

Line Search Stochastic Gradient Algorithm with A-priori Rule for Monitoring the Control of the Variance.

Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini, Luca Zanni

Proceedings of the Numerical Computations: Theory and Algorithms, 2023

2021

Thresholding Procedure via Barzilai-Borwein Rules for the Steplength Selection in Stochastic Gradient Methods.

Giorgia Franchini, Valeria Ruggiero, Ilaria Trombini

Proceedings of the Machine Learning, Optimization, and Data Science, 2021