Nicolas Verzelen
About me
I work as a senior research scientist in Statistics and Machine Learning within INRAE. I am mostly interested in the analysis of popular algorithms for modern data science with a particular emphasis on methods for agroecological data.
Research
My current research interests include
unsupervised learning (clustering, ranking)
high-dimensional minimax theory and computational trade-offs.
active learning
applications to seed exchange networks
applications to agroecology
Duties
Some recent publications
A. Carpentier, C. Giraud, and N. Verzelen. Phase Transition for Stochastic Block Model with more than sqrt{n} Communities. [ArXiv]
A. Carpentier, S. M. Giancola , C. Giraud, and N. Verzelen. Low-degree lower bounds via almost orthonormal bases. [ArXiv]
B. Even, C. Giraud, and N. Verzelen. Computational barriers for permutation-based problems, and cumulants of weakly dependent random variables. SODA 2026 [ArXiv]
B. Even, C. Giraud, and N. Verzelen. Computational lower bounds in latent models: clustering, sparse-clustering, biclustering. [ArXiv]
M. Graf, V. Thuot, and N. Verzelen. Clustering Items through Bandit Feedback: Finding the Right Feature out of Many. ICML 2025 [ArXiv]
M. Graf, A. Carpentier, and N. Verzelen. Optimal level set estimation for non-parametric tournament and crowdsourcing problems. [ArXiv]
C. Berenfeld, A. Carpentier, and N. Verzelen. Seriation of Toeplitz and latent position matrices: optimal rates and computational trade-offs. Accepted in Bernoulli [ArXiv]
V. Thuot, A. Carpentier, C. Giraud, and N. Verzelen. Active clustering with bandit feedback. ALT 2025 [ArXiv]
B. Even, C. Giraud, and N. Verzelen. Computation-information gap in high-dimensional clustering. COLT 2024 [ArXiv]
J. Mariel, I. Sanchez, N. Verzelen, F. Massol, S. Carrière, and V. Labeyrie The role of farmers’ networks in sourcing planting material and information in a context of agroforestry transition in Madagascar. Agricultural Systems, 217, 2024 [Article]
E. Pilliat, A. Carpentier, and N. Verzelen. Optimal rates for ranking a permuted isotonic matrix in polynomial time. Symposium on Discrete Algorithms (SODA), 3236–3273, 2024. [Article] [ArXiv]
E. Saad, A. Carpentier, and N. Verzelen. Active Ranking of Experts Based on their Performances in Many Tasks. ICML (oral presentation), 2023. [Article] [ArXiv]
N. Verzelen, M. Fromont, M. Lerasle, and P. Reynaud-Bouret. Optimal Change-Point Detection and Localization. Annals of Statistics, 51(4):1586–1610, 2023. [Article] [ArXiv]
Full list of publications.
Supervision
Current Students:
Alumni:
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