Section: Dissemination

Teaching

• S. Arlot (together with G. Stoltz), “Supervised classification: algorithms and their data-driven calibration”, École Centrale de Paris, 3rd year, 16h.

• J.-Y. Audibert, “Machine Learning and applications”, Ecole des Ponts ParisTech, 2nd year, 21h.

• J.-Y. Audibert, “Machine Learning”, Masters (M2) “Mathématiques, Vision et Apprentissage” (MVA), Ecole Normale Supérieure de Cachan, 20h.

• F. Bach, “Probabilistic graphical models”, MVA, Ecole Normale Supérieure de Cachan, 20h.

• F. Bach, NIPS 2009 Tutorial on sparse methods for machine learning

• F. Bach, J. Mairal, J. Ponce, ICCV 2009 Tutorial on Sparse Coding and Dictionary Learning for Image Analysis

• J. Ponce, “Introduction to scientific computing”, Ecole normale supérieure, M1, 36h.

• J. Ponce, “Geometry and computer vision”, Ecole normale supérieure and MVA, Ecole normale supérieure de Cachan, 36h.

• I. Laptev, J. Ponce and J. Sivic (together with C. Schmid (INRIA Grenoble)), “Object recognition and computer vision”, Ecole normale supérieure, and MVA, Ecole normale supérieure de Cachan, 33h.

• A. Zisserman, Lecture course on “Computer Vision”, University of Oxford.

• A. Zisserman, Lecture course on “Machine Learning”, University of Oxford.

• A. Zisserman, Lecture course on “Optimization”, University of Oxford.