1 citations · 1 across the 11 of their papers we have counts for
Showing 2025 · stat.MLShow all
2 papers · 2 filters
stat.ML2025
Asymptotics of Non-Convex Generalized Linear Models in High-Dimensions: A proof of the replica formula
Matteo Vilucchio, Yatin Dandi, Matéo Pirio Rossignol +2
The analytic characterization of the high-dimensional behavior of optimization for Generalized Linear Models (GLMs) with Gaussian data has been a central focus in statistics and pr…
stat.ML2025
The Computational Advantage of Depth: Learning High-Dimensional Hierarchical Functions with Gradient Descent
Yatin Dandi, Luca Pesce, Lenka Zdeborová +1
Understanding the advantages of deep neural networks trained by gradient descent (GD) compared to shallow models remains an open theoretical challenge. In this paper, we introduce…