Publications

Preprints:

• Conformal Prediction for Long-Tailed Classification.
  Tiffany Ding, Jean-Baptiste Fermanian, Joseph Salmon, 2025. arXiv, code, blog post

• Estimation of multiple mean vectors in high dimension.
  Gilles Blanchard, Jean-Baptiste Fermanian, Hannah Marienwald, 2024. arXiv

Published papers:

• Class conditional conformal prediction for multiple inputs by p-value aggregation.
  Jean-Baptiste Fermanian, Mohamed Hebiri, Joseph Salmon.
  Accepted at Neurips 2025. arXiv code

• Transductive Conformal Inference for full Ranking.
  Jean-Baptiste Fermanian, Pierre Humbert, Gilles Blanchard.
  Accepted at Neurips 2025. arXiv code

• Nonasymptotic one-and two-sample tests in high dimension with unknown covariance structure.
  Gilles Blanchard, Jean-Baptiste Fermanian.
  Foundations of Modern Statistics (Festschrift in Honor of Vladimir Spokoiny), 2023. arXiv

• High-Dimensional Multi-Task Averaging and Application to Kernel Mean Embedding.
  Hannah Marienwald, Jean-Baptiste Fermanian, Gilles Blanchard.
  AISTATS, 2021. arXiv

• An example of failure of stochastic homogenization for viscous Hamilton-Jacobi equations without convexity.
  William M. Feldman, Jean-Baptiste Fermanian, Bruno Ziliotto.
  Journal of Differential Equations, 2021. arXiv

Phd manuscript

• High dimensional multiple means estimation and testing with applications to machine learning.
  Jean-Baptiste Fermanian, 2024. HAL

Blog post

• Optimal prediction sets for plant identification: an interactive guide.
  Tiffany Ding, Jean-Baptiste Fermanian, Joseph Salmon, 2025. link