| Splitting methods with variable metric for Kurdyka–Łojasiewicz functions and general convergence rates P Frankel, G Garrigos, J Peypouquet Journal of Optimization Theory and Applications 165, 874-900, 2015 | 234 | 2015 |
| Convergence of the forward-backward algorithm: beyond the worst-case with the help of geometry G Garrigos, L Rosasco, S Villa Mathematical Programming 198 (1), 937-996, 2023 | 49 | 2023 |
| Handbook of convergence theorems for (stochastic) gradient methods G Garrigos, RM Gower arXiv preprint arXiv:2301.11235, 2023 | 46 | 2023 |
| Iterative regularization via dual diagonal descent G Garrigos, L Rosasco, S Villa Journal of Mathematical Imaging and Vision, doi:10.1007/s10851-017-0754-0, 2017 | 32 | 2017 |
| A dynamic gradient approach to Pareto optimization with nonsmooth convex objective functions H Attouch, G Garrigos, X Goudou Journal of Mathematical Analysis and Applications 422 (1), 741-771, 2015 | 32 | 2015 |
| Accelerated iterative regularization via dual diagonal descent L Calatroni, G Garrigos, L Rosasco, S Villa SIAM Journal on Optimization 31 (1), 754-784, 2021 | 14 | 2021 |
| Thresholding gradient methods in Hilbert spaces: support identification and linear convergence G Garrigos, L Rosasco, S Villa ESAIM: Control, Optimisation and Calculus of Variations 26, 28, 2020 | 10 | 2020 |
| Model consistency for learning with mirror-stratifiable regularizers J Fadili, G Garrigos, J Malick, G Peyré The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 10 | 2019 |
| Descent dynamical systems and algorithms for tame optimization and multi-objective problems. G Garrigos Université de Montpellier; Universidad Tecnica Federico Santa Maria, 2015 | 7 | 2015 |
| Square distance functions are polyak-{\L} ojasiewicz and vice-versa G Garrigos arXiv preprint arXiv:2301.10332, 2023 | 6 | 2023 |
| Multiibjective optimization: an inertial dynamical approach to Pareto optima H Attouch, G Garrigos arXiv preprint arXiv:1506.02823, 2015 | 6 | 2015 |
| Provable convergence guarantees for black-box variational inference J Domke, R Gower, G Garrigos Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| SAN: stochastic average newton algorithm for minimizing finite sums J Chen, R Yuan, G Garrigos, RM Gower International Conference on Artificial Intelligence and Statistics, 279-318, 2022 | 4 | 2022 |
| Function value learning: Adaptive learning rates based on the polyak stepsize and function splitting in erm G Garrigos, RM Gower, F Schaipp arXiv preprint arXiv:2307.14528, 2023 | 1 | 2023 |
| Multivariate Online Linear Regression for Hierarchical Forecasting M Hihat, G Garrigos, A Fermanian, S Bussy arXiv preprint arXiv:2402.14578, 2024 | | 2024 |
| SGD with Clipping is Secretly Estimating the Median Gradient F Schaipp, G Garrigos, U Simsekli, R Gower arXiv preprint arXiv:2402.12828, 2024 | | 2024 |
| Online Inventory Problems: Beyond the iid Setting with Online Convex Optimization M Hihat, S Gaïffas, G Garrigos, S Bussy Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Sparse Multiple Kernel Learning: Support Identification via Mirror Stratifiability G Garrigos, L Rosasco, S Villa https://arxiv.org/abs/1803.00783, 2018 | | 2018 |
| Iterative regularization via a dual diagonal descent method G Garrigos, L Rosasco, S Villa NIPS Workshop on Optimization for Machine Learning, 2016 | | 2016 |
silvia villaMaLGa Machine Learning Genoa Center - Università degli Studi di GenovaAdresse e-mail validée de dima.unige.it
