I am thrilled to announce that with Xiaoyi Mai, Mohamed Tamaazousti and Vincent Lahoche we are organizing a CIMI thematic trimester titled “Beyond classical regimes in statistical inference and machine learning,” to be held during Fall 2024. Here is a summary of its scientific program:

• (September 2024, precise date TBA) An opening colloquium about recent developments and challenges of high-dimensional statistical inference and machine learning.
• (From 7 October to 11 October 2024) A one-week thematic school with the theme “Models”, featuring mini-courses on tools and techniques for the analysis of high-dimensional models in statistical inference and machine learning, including (but not limited to) tools from random matrix theory, statistical physics and spin glasses.
• (From 14 October to 18 October 2024) A one-week thematic school with the theme “Optimization”, featuring mini-courses on the study of high-dimensional random optimization landscapes and on the dynamics of optimization algorithms in high dimensions.
• (From 4 November to 8 November 2024) A workshop focused on recent results on high-dimensional (supervised and unsupervised) machine learning and statistical inference. This workshop will in particular involve a round-table debate with top experts on this domain about the major open problems on the field and some promising trends and recent developments.

More details (and a website) are coming soon, in particular regarding a call for poster contributions to be presented during the workshop.