Title/Position: Professor, Apple Machine Learning Research
Department: ENSAE-CREST, Statistics
Specialties: Machine learning ; Statistics ; Optimal transport

Faculty Bio

Marco Cuturi is a professor of statistics at ENSAE, affiliated with CREST and a full-time researcher at Apple Machine Learning Research. His recent works have investigated the application of optimal transport theory to machine learning and statistics. He is a former ENSAE graduate ('01) and holds a doctor degree from the ENSMP ('05).

Courses

Enseignant Identifiant Intitulé Instructor Heures de TD Jours Heures de cours Crédits ECTS Modalité examen
Marco Cuturi OMI347 Deep Learning: Models and Optimization Cuturi Marco 6 12 3 mém.
Marco Cuturi SE314 Optimal Transport : theory, computations, statistics and ML applications Cuturi Marco 6 12 3 mém.
Marco Cuturi OMI310 Stochastic Optimization and Automatic Differentiation for Machine Learning Cuturi Marco 6 12 3 mém.