Thematic school: Optimization & algorithms for high-dimensional machine learning and inference

This thematic school features mini-courses on the study of high-dimensional (random) optimization landscapes, on the dynamics of optimization algorithms in high dimensions, on approximate message passing algorithms, and related topics.

List of speakers and subjects :

• François Malgouyres - Properties of the landscape in neural network optimization
• Edouard Pauwels - An introduction to optimization for deep learning 
• Valentina Ros - High-dimensional random landscapes
• Cynthia Rush - An introduction to approximate message passing algorithms
• Cédric Févotte - Majorization-minimization for non-negative matrix factorization

You will find the abstracts in the "Scientific Programme" section.