Ludovic Stephan

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Generalized Linear

Top Venues

Publications

Ludovic Stephan, Yizhe Zhu
A non-backtracking method for long matrix and tensor completion. COLT (2024)
Luca Arnaboldi, Yatin Dandi, Florent Krzakala, Luca Pesce, Ludovic Stephan
Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index Functions. CoRR (2024)
Luca Arnaboldi, Yatin Dandi, Florent Krzakala, Bruno Loureiro, Luca Pesce, Ludovic Stephan
Online Learning and Information Exponents: On The Importance of Batch size, and Time/Complexity Tradeoffs. CoRR (2024)
Luca Pesce, Florent Krzakala, Bruno Loureiro, Ludovic Stephan
Are Gaussian data all you need? Extents and limits of universality in high-dimensional generalized linear estimation. CoRR (2023)
Yatin Dandi, Florent Krzakala, Bruno Loureiro, Luca Pesce, Ludovic Stephan
Learning Two-Layer Neural Networks, One (Giant) Step at a Time. CoRR (2023)
Luca Arnaboldi, Florent Krzakala, Bruno Loureiro, Ludovic Stephan
Escaping mediocrity: how two-layer networks learn hard single-index models with SGD. CoRR (2023)
Luca Pesce, Florent Krzakala, Bruno Loureiro, Ludovic Stephan
Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation. ICML (2023)
Yatin Dandi, Ludovic Stephan, Florent Krzakala, Bruno Loureiro, Lenka Zdeborová
Universality laws for Gaussian mixtures in generalized linear models. NeurIPS (2023)
Luca Arnaboldi, Ludovic Stephan, Florent Krzakala, Bruno Loureiro
From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks. COLT (2023)
Luca Arnaboldi, Ludovic Stephan, Florent Krzakala, Bruno Loureiro
From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks. CoRR (2023)
Federica Gerace, Florent Krzakala, Bruno Loureiro, Ludovic Stephan, Lenka Zdeborová
Gaussian Universality of Linear Classifiers with Random Labels in High-Dimension. CoRR (2022)
Rodrigo Veiga, Ludovic Stephan, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks. CoRR (2022)
Ludovic Stephan, Yizhe Zhu
Sparse random hypergraphs: Non-backtracking spectra and community detection. FOCS (2022)
Rodrigo Veiga, Ludovic Stephan, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks. NeurIPS (2022)
Simon Coste, Ludovic Stephan
A simpler spectral approach for clustering in directed networks. CoRR (2021)
Ludovic Stephan, Laurent Massoulié
Robustness of Spectral Methods for Community Detection. COLT (2019)
Laurent Massoulié, Ludovic Stephan, Don Towsley
Planting trees in graphs, and finding them back. COLT (2019)
Ludovic Stephan, Laurent Massoulié
Robustness of spectral methods for community detection. CoRR (2018)