Person

Ludovic Théo Stephan

This person is no longer with EPFL

Official source

https://people.epfl.ch/ludovic.stephan

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Official source

https://people.epfl.ch/ludovic.stephan

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Courses taught by this person (1)

PHYS-642: Statistical physics for optimization & learning

This course covers the statistical physics approach to computer science problems, with an emphasis on heuristic & rigorous mathematical technics, ranging from graph theory and constraint satisfaction

Related publications (10)

Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.

Sparse random hypergraphs: non-backtracking spectra and community detection

Ludovic Théo Stephan

We consider the community detection problem in a sparse q-uniform hypergraph G, assuming that G is generated according to the Hypergraph Stochastic Block Model (HSBM). We prove that a spectral method based on the non-backtracking operator for hypergraphs w ...

OXFORD UNIV PRESS2024

Universality laws for Gaussian mixtures in generalized linear models

Florent Gérard Krzakala, Lenka Zdeborová, Bruno Loureiro, Ludovic Théo Stephan

A recent line of work in high-dimensional statistics working under the Gaussian mixture hypothesis has led to a number of results in the context of empirical risk minimization, Bayesian uncertainty quantification, separation of kernel methods and neural ne ...

2024

Gaussian universality of perceptrons with random labels

Florent Gérard Krzakala, Lenka Zdeborová, Bruno Loureiro, Ludovic Théo Stephan

While classical in many theoretical settings-and in particular in statistical physics-inspired works-the assumption of Gaussian i.i.d. input data is often perceived as a strong limitation in the context of statistics and machine learning. In this study, we ...

Amer Physical Soc2024