BOYER Claire

Senior Lecturer
Laboratoire de Probabilités, Statistique et Modélisation LPSM (UMR 8001)

Expertise

Discover the specialized technical skills and disciplinary affiliations of our members, who represent the federated communities of the Arts & Humanities, Science & Engineering, and Medicine within the Sorbonne University Alliance.

Communities
Mathematics, Computer Science & Robotics
Skills
Interpretability, Machine learning, Statistical learning

Activities

Overview the professional milestones, academic responsibilities, and international collaborations that drive our center’s double ambition to excel in both research and education.

Responsibilities

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