Ludovic Stephan
11 papers · 2019–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (25) 🌍 Conference Polyglot · Bronze 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
❓
The Questioner
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
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Keyword Collector
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Venues
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Research topics
Machine Learning
(11)
Mathematics & Optimization
(8)
Optimization & Theory · Machine Learning
(8)
Core Methods
(6)
Mathematics
(6)
Computer Science
(4)
Foundations
(4)
Data Science & Analytics
(3)
Deep Learning
(2)
Methods
(2)
Optimization
(2)
Application Areas
(1)
Applications
(1)
Architectures
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
stochastic block model
(2)
random graph
(2)
spectral method
(2)
batch size
(2)
high-dimensional analysis
(2)
stochastic gradient descent
(2)
tensor completion
(2)
generalized linear model
(2)
neural network
(2)
kesten-stigum threshold
(2)
high-dimensional statistics
(1)
graph inference
(1)
eigenvector perturbation
(1)
singular value decomposition
(1)
generalization error
(1)
community detection
(1)
feature learning
(1)
gradient descent
(1)
low-rank tensor
(1)
hypothesis testing
(1)
Papers
Wedge Sampling: Efficient Tensor Completion with Nearly-Linear Sample Complexity
COLT 2026
Community detection with the Bethe-Hessian
COLT 2025
A non-backtracking method for long matrix and tensor completion
COLT 2024
How Two-Layer Neural Networks Learn, One (Giant) Step at a Time
JMLR 2024
Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs
ICML 2024
Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation
ICML 2023
From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks
COLT 2023
Universality laws for Gaussian mixtures in generalized linear models
NeurIPS 2023
Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks
NeurIPS 2022
Planting trees in graphs, and finding them back
COLT 2019
Robustness of Spectral Methods for Community Detection
COLT 2019