Braun, Guillaume

5 publications

AISTATS 2025 Learning a Single Index Model from Anisotropic Data with Vanilla Stochastic Gradient Descent Guillaume Braun, Minh Ha Quang, Masaaki Imaizumi

JMLR 2024 Seeded Graph Matching for the Correlated Gaussian Wigner Model via the Projected Power Method Ernesto Araya, Guillaume Braun, Hemant Tyagi

AISTATS 2024 VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates Guillaume Braun, Masashi Sugiyama

ICML 2022 An Iterative Clustering Algorithm for the Contextual Stochastic Block Model with Optimality Guarantees Guillaume Braun, Hemant Tyagi, Christophe Biernacki

AISTATS 2021 Clustering Multilayer Graphs with Missing Nodes Guillaume Braun, Hemant Tyagi, Christophe Biernacki