
Explore Wasserstein distributionally robust optimization theory and its applications in machine learning, focusing on data-driven decision-making under uncertainty and statistical learning.

Explore stable big bang formation in general relativity, covering recent results and a new condition for big bang formation in Einstein-non-linear scalar field settings.

Delve into advanced mathematical concepts exploring the quadratic stability of Brunn-Minkowski inequality, its geometric implications, and connections to related inequalities in convex geometry.