| Randomized Progressive Hedging methods for multi-stage stochastic programming G Bareilles, Y Laguel, D Grishchenko, F Iutzeler, J Malick Annals of Operations Research 295 (2), 535-560, 2020 | 22 | 2020 |
| Newton acceleration on manifolds identified by proximal gradient methods G Bareilles, F Iutzeler, J Malick Mathematical Programming, 1-34, 2022 | 18 | 2022 |
| On the interplay between acceleration and identification for the proximal gradient algorithm G Bareilles, F Iutzeler Computational Optimization and Applications 77 (2), 351-378, 2020 | 6 | 2020 |
| Harnessing structure in composite nonsmooth minimization G Bareilles, F Iutzeler, J Malick SIAM Journal on Optimization 33 (3), 2222-2247, 2023 | 2 | 2023 |
| Hybrid Methods in Polynomial Optimisation J Aspman, G Bareilles, V Kungurtsev, J Marecek, M Takáč arXiv preprint arXiv:2305.16122, 2023 | 2 | 2023 |
| Piecewise polynomial regression of tame functions via integer programming G Bareilles, J Aspman, J Nemecek, J Marecek arXiv preprint arXiv:2311.13544, 2023 | 1 | 2023 |
| Structured nonsmooth optimization: proximal identification, fast local convergence, and applications G Bareilles Université Grenoble Alpes [2020-....], 2022 | | 2022 |
| Optimisation non-lisse structurée: identification proximale, convergence locale rapide et applications| Theses. fr G Bareilles Université Grenoble Alpes, 2022 | | 2022 |
| Solving stochastic programming problems with randomized scenario sampling G Bareilles, D Grishchenko, F Iutzeler, Y Laguel, J Malick EasyChair, 2020 | | 2020 |
| Méthodes de Newton pour l’optimisation composite non-lisse G Bareilles, F Iutzeler, J Malick | | |
Franck IutzelerInstitut de Mathématiques de Toulouse, Université Toulouse III - Paul SabatierVerified email at math.univ-toulouse.fr
