2 papers
cond-mat.dis-nn2024
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance
Jean Barbier, Francesco Camilli, Justin Ko +1
Matrix denoising is central to signal processing and machine learning. Its statistical analysis when the matrix to infer has a factorised structure with a rank growing proportional…
stat.ML2024
Transfer Learning in Regularized Regression: Hyperparameter Selection Strategy based on Sharp Asymptotic Analysis
Koki Okajima, Tomoyuki Obuchi
Transfer learning techniques aim to leverage information from multiple related datasets to enhance prediction quality against a target dataset. Such methods have been adopted in th…