2 papers
stat.ML2026
Learning between the peaks: sharp asymptotics for kernel ridge regression under power-law anisotropy
Lorenzo Rizzi, Arie Wortsman Zurich, Bruno Loureiro
We study kernel ridge regression under anisotropic Gaussian data, where the input covariance decays as a power law with exponent for polynomial inner-product kernels. We…
stat.ML2026
A Random Matrix Theory of Masked Self-Supervised Regression
Arie Wortsman Zurich, Federica Gerace, Bruno Loureiro +1
In the era of transformer models, masked self-supervised learning (SSL) has become a foundational training paradigm. A defining feature of masked SSL is that training aggregates pr…