Marc Vuffray

5 papers · 2016–2026 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird

Venues

NeurIPS (3) COLT (2)

Top co-authors

Sidhant Misra (5) Andrey Lokhov (3) Andrey Y. Lokhov (2) Abhijith Jayakumar (2) Michael Chertkov (1) Devin Smedira (1)

Research topics

Machine Learning (5) Core Methods (4) Optimization & Theory (4) Mathematics & Optimization (3) Mathematics (3) Artificial Intelligence (1) Deep Learning (1) Bayesian & Probabilistic (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1)

Keywords

sample complexity (3) interaction screening (3) structure learning (2) graphical model (2) graph structure (1) ising model (1) exponential family (1) support recovery (1) score matching (1) structure recovery (1) probabilistic modeling (1) gaussian graphical model (1) information-theoretic bound (1) discrete variable (1) graph reconstruction (1) finite sample bound (1) sparse graph (1) factor model (1) neural network (1) mixed integer quadratic program (1)

Papers

Finite Sample Bounds for Learning with Score Matching COLT 2026 Efficient Learning of Discrete Graphical Models NeurIPS 2020 Information Theoretic Optimal Learning of Gaussian Graphical Models COLT 2020 Learning of Discrete Graphical Models with Neural Networks NeurIPS 2020 Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models NeurIPS 2016