2 papers
stat.ML2026
Generalization analysis with deep ReLU networks for metric and similarity learning
Junyu Zhou, Puyu Wang, Ding-Xuan Zhou
While metric and similarity learning has been extensively studied from several theoretical perspectives, a rigorous understanding of its generalization performance is still lacking…
stat.ML2026
Fine-grained Analysis of Non-parametric Estimation for Pairwise Learning
Junyu Zhou, Shuo Huang, Han Feng +2
In this paper, we are concerned with the generalization performance of non-parametric estimation for pairwise learning. Most of the existing work requires the hypothesis space to b…