Christophe Giraud
Scholar

Christophe Giraud

Google Scholar ID: gF-ziCAAAAAJ
Université Paris Saclay
high-dimensional statisticsmachine learning
Citations & Impact
All-time
Citations
1,622
 
H-index
17
 
i10-index
34
 
Publications
20
 
Co-authors
0
 
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Book: Introduction to High-Dimensional Statistics (First Edition 2015, Second Edition 2021); Preprints and publications in SODA 2026, Bernoulli 2025, ALT 2025, JMLR 2024, COLT 2024, Mathematical Statistics and Learning 2024, NeurIPS 2023, Electronic Journal of Statistics 2023, NeurIPS 2022, NeurIPS 2021.
Research Experience
  • Professor at Paris Saclay University; In charge of the Master program Mathematics and applications of Paris Saclay University; Deputy director of the Graduate School of Mathematics of Paris Saclay University, in charge of education; Action Editor for JMLR; Associate Editor for JEMS and ESAIM-proc; Adjunct Professor at Cornell University.
Background
  • Contributes to the understanding of some fundamental problems in statistics and machine learning, to the analysis of some popular algorithms and to the design of some new ones. Occasionally collaborates with biologists.
Co-authors
0 total
Co-authors: 0 (list not available)