Meanwhile, excited to be in
#Lyon for
#COLT2025, with a co-first author paper (
arxiv.org/abs/2502.15752) with the amazing team -- Matthew M Mallory and our advisor Morgane Austern!
Keywords: Gaussian universality, dependent data, convex Gaussian min-max theorem, data augmentation!
Universality of High-Dimensional Logistic Regression and a Novel CGMT under Dependence with Applications to Data Augmentation
Over the last decade, a wave of research has characterized the exact asymptotic risk of many high-dimensional models in the proportional regime. Two foundational results have driven this progress: Gau...
