Guillaume Braun
According to our database1,
Guillaume Braun authored at least 8 papers
between 2021 and 2026.
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Bibliography
2026
Spectral Gradient Descent Mitigates Anisotropy-Driven Misalignment: A Case Study in Phase Retrieval.
CoRR, January, 2026
2025
Fast Escape, Slow Convergence: Learning Dynamics of Phase Retrieval under Power-Law Data.
CoRR, November, 2025
Learning a Single Index Model from Anisotropic Data with Vanilla Stochastic Gradient Descent.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025
2024
Seeded Graph Matching for the Correlated Gaussian Wigner Model via the Projected Power Method.
J. Mach. Learn. Res., 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2022
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees.
Proceedings of the International Conference on Machine Learning, 2022
2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021