Claire BOYER

  • Senior Lecturer
  • LPSM - Laboratoire de Probabilités, Statistique et Modélisation
  • Communities
    Mathematics, Computer Science & Robotics
  • Expertise
    Machine learning
    Statistical learning


Elected member to UFR board

Selected publications

Robust Lasso-Zero for sparse corruption and model selection with missing covariates 
P. Descloux, C. Boyer, J. Josse, A. Sportisse, S. Sardy.
Scandinavian Journal of Statistics (2022) [hal] [arXiv] 2022

- Sampling rates for l1-synthesis , M. März, C. Boyer, J. Kahn, P. Weiss 
Foundations of Computational Mathematics (FoCM) (2022) [arXiv] 2022

- Analyzing the tree-layer structure of Deep Forests, L. Arnould, C. Boyer, E. Scornet.
International Conference on Machine Learning (ICML 2021). [arXiv] 2021

- Debiasing Stochastic Gradient Descent to handle missing values , A. Sportisse, C. Boyer, A. Dieuleveut, J. Josse , Conference on Neural Information Processing Systems (NeurIPS 2020). [hal] [arXiv] 2020

- Estimation and imputation in Probabilistic Principal Component Analysis with Missing Not At Random data. 
A. Sportisse, C. Boyer, J. Josse, Conference on Neural Information Processing Systems (NeurIPS 2020). [arXiv] 2020