| An iterative clustering algorithm for the contextual stochastic block model with optimality guarantees G Braun, H Tyagi, C Biernacki International Conference on Machine Learning, 2257-2291, 2022 | 17 | 2022 |
| Clustering multilayer graphs with missing nodes G Braun, H Tyagi, C Biernacki International Conference on Artificial Intelligence and Statistics, 2260-2268, 2021 | 10 | 2021 |
| Minimax optimal clustering of bipartite graphs with a generalized power method G Braun, H Tyagi Information and Inference: A Journal of the IMA 12 (3), 1830-1866, 2023 | 7 | 2023 |
| Seeded graph matching for the correlated Wigner model via the projected power method E Araya, G Braun, H Tyagi arXiv preprint arXiv:2204.04099, 2022 | 4 | 2022 |
| Seeded graph matching for the correlated Gaussian Wigner model via the projected power method E Araya, G Braun, H Tyagi Journal of Machine Learning Research 25 (5), 1-43, 2024 | 3 | 2024 |
| VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates G Braun, M Sugiyama International Conference on Artificial Intelligence and Statistics, 532-540, 2024 | 1 | 2024 |
| Strong consistency guarantees for clustering high-dimensional bipartite graphs with the spectral method G Braun Electronic Journal of Statistics 18 (2), 2798-2823, 2024 | 1 | 2024 |
| Méthodes itératives efficientes pour des problèmes de classification et d'appariement de graphes G Braun | | 2022 |
| Efficient iterative methods for clustering and matching problems on graphs G Braun Université de Lille, 2022 | | 2022 |
| Clustering on multilayer graphs with missing values G Braun, C Biernacki, H Tyagi Journée de Statistique de la SFdS, 2020 | | 2020 |
| Learning a Single Index Model from Anisotropic Data with Vanilla Stochastic Gradient Descent G Braun, MH Quang, M Imaizumi The 28th International Conference on Artificial Intelligence and Statistics, 0 | | |
| Clustering Bipartite Graphs with the Generalized Power Method G Braun, H Tyagi | | |
