My research interests are:
graphons, graph limits, random graphs, probability theory,
statistical learning, online learning, optimization, distributed algorithms
Publications & Preprints
Julien Weibel, Pierre Gaillard, Wouter M. Koolen, Adrien Taylor.
Optimized projection-free algorithms for online learning: construction and worst-case analysis, 2025, preprint.
[arXiv,
hal]
Julien Weibel. Ergodic theorem for branching Markov
chains indexed by trees with arbitrary shape, 2025, Journal of
Applied Probability (currently in First View article, should be moved to volume 62, issue 3 in September).
[journal version,
author accepted manuscript;
preprint version: arXiv,
hal]
Romain Abraham, Jean-François Delmas, Julien Weibel.
Probability-graphons: Limits of large dense weighted
graphs, 2025, Innovations in Graph Theory, vol. 2, pp. 25--117.
[journal version:
pdf,
journal website;
preprint version:
arXiv,
hal]
Julien Weibel. Graphons de probabilités,
limites de graphes pondérés aléatoires et
chaînes de Markov branchantes cachées, 2024, PhD
manuscript,
Université d'Orléans.
[PhD
manuscript,
or see on hal]
Julien Weibel. Asymptotic properties of the maximum likelihood estimator for Hidden Markov Models indexed by binary trees, 2024, preprint.
[arXiv,
hal]
Achour Mostéfaoui, Matthieu Perrin, Julien Weibel.
Brief announcement: Randomized Consensus: Common Coins Are not the Holy Grail!,
2024, ACM Symposium on Principles of Distributed
Computing (PODC 2024).
[Brief announcement,
hal]
Fatima-Ezzahra El Orche, Marcel Hollenstein, Sarah Houdaigoui, David Naccache, Daria Pchelina, Peter B Rønne, Peter y A Ryan, Julien Weibel, Robert Weil.
Taphonomical Security: (DNA) Information with a Foreseeable Lifespan, 2023, Future of Information and Communication Conference (FICC).
[hal]