Yohann De Castro
Scholar

Yohann De Castro

Google Scholar ID: 3Rdlxg4AAAAJ
Institut Camille Jordan & Institut Universitaire de France (IUF)
StatisticsStatistical Learning
Citations & Impact
All-time
Citations
838
 
H-index
15
 
i10-index
17
 
Publications
20
 
Co-authors
32
list available
Resume (English only)
Academic Achievements
  • [Sep 2025] New paper 'Gaussian Mixture Model with unknown diagonal covariances via continuous sparse regularization' with R. Giard and C. Marteau, under review
  • [Sep 2025] Updated version of 'FastPart: Over-Parameterized Stochastic Gradient Descent for Sparse optimisation on Measures' available on arXiv
  • [Jul 2025] Paper 'Effective regions and kernels in continuous sparse regularisation, with application to sketched mixtures' with R. Gribonval and N. Jouvin
  • [Apr 2025] Paper 'Minimax Estimation of Partially-Observed Vector AutoRegressions' with G. Dalle accepted in Electronic Journal of Statistics, establishing optimal convergence rates
  • 2024: Paper with V. Duval and R. Petit published in Inverse Problems
  • 2022: Paper with J-M Azaïs published in Information & Inference: A Journal of the IMA
  • 2021: Multiple papers published in Annals of Statistics, Optimization Letters, Journal of Mathematical Imaging and Vision, etc.
  • Maintains GitHub repositories including FastPart and SuperMix
Research Experience
  • Elected head of the École Centrale Lyon site of Institut Camille Jordan; statutory member of the institute’s laboratory council and the school’s executive committee
  • Affiliated researcher at CERMICS, École des Ponts ParisTech
  • External collaborator with the OCKHAM team at INRIA Lyon
  • Elected member of the Mathematics and Computer Science Department Council at École Centrale Lyon
  • Teaches Machine Learning (2nd year) and Convexity and Parsimony (3rd year, jointly with Master 2 MeA, Lyon 1)