| On the efficiency of stochastic quasi-Newton methods for deep learning M Yousefi, A Martinez arXiv preprint arXiv:2205.09121, 2022 | 6 | 2022 |
| A special generalized HSS method for discrete ill-posed problems H Aminikhah, M Yousefi Computational and Applied Mathematics 37, 1507-1523, 2018 | 6 | 2018 |
| A non-monotone trust-region method with noisy oracles and additional sampling N Krejić, N Krklec Jerinkić, Á Martínez, M Yousefi Computational Optimization and Applications 89 (1), 247-278, 2024 | 5 | 2024 |
| A stochastic modified limited memory BFGS for training deep neural networks M Yousefi, Á Martínez Calomardo Science and Information Conference, 9-28, 2022 | 5 | 2022 |
| A stochastic nonmonotone trust-region training algorithm for image classification M Yousefi, ÁM Calomardo 2022 16th International Conference on Signal-Image Technology & Internet …, 2022 | 4 | 2022 |
| Deep neural networks training by stochastic quasi-newton trust-region methods M Yousefi, Á Martínez Algorithms 16 (10), 490, 2023 | 3 | 2023 |
| Preconditioned RRGMRES for discrete Ill-posed problems H Aminikhah, M Yousefi International Journal of Computational Methods 15 (04), 1850023, 2018 | 3 | 2018 |
| Restarting nonlinear conjugate gradient methods M Kimiaei, S Babaie–Kafaki, V Kungurtsev, M Yousefi | | 2025 |
| Fully stochastic trust-region methods with Barzilai-Borwein steplengths S Bellavia, B Morini, M Yousefi arXiv preprint arXiv:2412.12180, 2024 | | 2024 |
| Combined First-and Second-Order Directions for Deep Neural Networks Training Á Martínez, M Viola, M Yousefi International Conference on Numerical Computations: Theory and Algorithms …, 2023 | | 2023 |
| Majoration-Minimization for Sparse SVMs A Benfenati, E Chouzenoux, G Franchini, S Latva-Äijö, D Narnhofer, ... INdAM Workshop: Advanced Techniques in Optimization for Machine learning and …, 2022 | | 2022 |