The Decision-Making Side of Machine Learning: Computational, Inferential and Economic Perspectives
Michael Jordan (Berkeley)
- Self-supervised learning and uncertainty representation - Yann LeCun
- Convex and non-convex optimization for machine learning - Francis Bach
- Mathematics is everything: from a research lab to a newsroom - Aurélie Jean
- Table ronde (en français) animée par Stéphane Mallat, avec Yannig Goude, Jakob Hoydis, Patrick Perez, Sophie Proust, Liva Ralaivola, Gilles Wainrib
- Computing with Light - Igor Carron
- The Decision-Making Side of Machine Learning: Computational, Inferential and Economic Perspectives - Michael Jordan
- Topological insights in machine learning - Kathryn Hess
- The centrality of statistical reasoning in a data rich era - Emmanuel Candès