Présidents de session
Beyond Bayesian Uncertainty: a Variational Perspective
- Badr-Eddine Cherief-Abdellatif (CNRS - Sorbonne Université)
Description
In this talk, I will explore how the statistics and machine learning communities are expanding the frontiers of uncertainty quantification beyond traditional Bayesian frameworks. Overview I will discuss the motivations behind this shift and introduce emerging variational approaches that offer fresh perspectives on inference. Drawing on my own research, I will highlight key milestones in this evolving landscape and outline some of the remaining challenges. Finally, I will show how variational methods open new avenues, overcoming limitations where classical Bayesian approaches fall short.